shap.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SHAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "# Pandas\n",
    "import pandas as pd\n",
    "\n",
    "# Some sklearn tools for preprocessing\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "# Tree based algorithms\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "# XAI\n",
    "import shap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>preg</th>\n",
       "      <th>plas</th>\n",
       "      <th>pres</th>\n",
       "      <th>skin</th>\n",
       "      <th>test</th>\n",
       "      <th>mass</th>\n",
       "      <th>pedi</th>\n",
       "      <th>age</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>148</td>\n",
       "      <td>72</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.627</td>\n",
       "      <td>50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>26.6</td>\n",
       "      <td>0.351</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>8</td>\n",
       "      <td>183</td>\n",
       "      <td>64</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>23.3</td>\n",
       "      <td>0.672</td>\n",
       "      <td>32</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>89</td>\n",
       "      <td>66</td>\n",
       "      <td>23</td>\n",
       "      <td>94</td>\n",
       "      <td>28.1</td>\n",
       "      <td>0.167</td>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>137</td>\n",
       "      <td>40</td>\n",
       "      <td>35</td>\n",
       "      <td>168</td>\n",
       "      <td>43.1</td>\n",
       "      <td>2.288</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   preg  plas  pres  skin  test  mass   pedi  age  class\n",
       "0     6   148    72    35     0  33.6  0.627   50      1\n",
       "1     1    85    66    29     0  26.6  0.351   31      0\n",
       "2     8   183    64     0     0  23.3  0.672   32      1\n",
       "3     1    89    66    23    94  28.1  0.167   21      0\n",
       "4     0   137    40    35   168  43.1  2.288   33      1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Leemos el dataset.\n",
    "names = ['preg', 'plas', 'pres', 'skin', 'test', 'mass', 'pedi', 'age', 'class']\n",
    "features = names[:-1]\n",
    "df = pd.read_csv(\"data/classification/pima-indians-diabetes.csv\", names=names)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "class\n",
       "0    500\n",
       "1    268\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_class = df.groupby(\"class\").size()\n",
    "count_class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "# Dividimos el dataset en train/test.\n",
    "X = df.drop(\"class\", axis=1)\n",
    "Y = df[\"class\"]\n",
    "x_train, x_test, y_train, y_test = train_test_split(X, Y, test_size=0.33)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "# Creamos el modelo RandomForest y lo entrenamos.\n",
    "rf_model = RandomForestClassifier(n_estimators=100).fit(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precisión:  76.37795275590551 %\n"
     ]
    }
   ],
   "source": [
    "# Probamos la precisión del modelo.\n",
    "y_predicted = rf_model.predict(x_test)\n",
    "accuracy = accuracy_score(y_test, y_predicted)\n",
    "print(\"Precisión: \",  accuracy*100, \"%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
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r={topAbort:null,topAnimationEnd:null,topAnimationIteration:null,topAnimationStart:null,topBlur:null,topCanPlay:null,topCanPlayThrough:null,topChange:null,topClick:null,topCompositionEnd:null,topCompositionStart:null,topCompositionUpdate:null,topContextMenu:null,topCopy:null,topCut:null,topDoubleClick:null,topDrag:null,topDragEnd:null,topDragEnter:null,topDragExit:null,topDragLeave:null,topDragOver:null,topDragStart:null,topDrop:null,topDurationChange:null,topEmptied:null,topEncrypted:null,topEnded:null,topError:null,topFocus:null,topInput:null,topInvalid:null,topKeyDown:null,topKeyPress:null,topKeyUp:null,topLoad:null,topLoadedData:null,topLoadedMetadata:null,topLoadStart:null,topMouseDown:null,topMouseMove:null,topMouseOut:null,topMouseOver:null,topMouseUp:null,topPaste:null,topPause:null,topPlay:null,topPlaying:null,topProgress:null,topRateChange:null,topReset:null,topScroll:null,topSeeked:null,topSeeking:null,topSelectionChange:null,topStalled:null,topSubmit:null,topSuspend:null,topTextInput:null,topTimeUpdate:null,topTouchCancel:null,topTouchEnd:null,topTouchMove:null,topTouchStart:null,topTransitionEnd:null,topVolumeChange:null,topWaiting:null,topWheel:null},i={topLevelTypes:r};t.exports=i},function(t,e,n){\"use 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RegExp(\"^(data|aria)-[\"+r.ATTRIBUTE_NAME_CHAR+\"]*$\")),Properties:{accept:0,acceptCharset:0,accessKey:0,action:0,allowFullScreen:o,allowTransparency:0,alt:0,as:0,async:o,autoComplete:0,autoPlay:o,capture:o,cellPadding:0,cellSpacing:0,charSet:0,challenge:0,checked:i|o,cite:0,classID:0,className:0,cols:u,colSpan:0,content:0,contentEditable:0,contextMenu:0,controls:o,controlsList:0,coords:0,crossOrigin:0,data:0,dateTime:0,default:o,defer:o,dir:0,disabled:o,download:c,draggable:0,encType:0,form:0,formAction:0,formEncType:0,formMethod:0,formNoValidate:o,formTarget:0,frameBorder:0,headers:0,height:0,hidden:o,high:0,href:0,hrefLang:0,htmlFor:0,httpEquiv:0,icon:0,id:0,inputMode:0,integrity:0,is:0,keyParams:0,keyType:0,kind:0,label:0,lang:0,list:0,loop:o,low:0,manifest:0,marginHeight:0,marginWidth:0,max:0,maxLength:0,media:0,mediaGroup:0,method:0,min:0,minLength:0,multiple:i|o,muted:i|o,name:0,nonce:0,noValidate:o,open:o,optimum:0,pattern:0,placeholder:0,playsInline:o,poster:0,preload:0,profile:0,radioGroup:0,readOnly:o,referrerPolicy:0,rel:0,required:o,reversed:o,role:0,rows:u,rowSpan:a,sandbox:0,scope:0,scoped:o,scrolling:0,seamless:o,selected:i|o,shape:0,size:u,sizes:0,span:u,spellCheck:0,src:0,srcDoc:0,srcLang:0,srcSet:0,start:a,step:0,style:0,summary:0,tabIndex:0,target:0,title:0,type:0,useMap:0,value:0,width:0,wmode:0,wrap:0,about:0,datatype:0,inlist:0,prefix:0,property:0,resource:0,typeof:0,vocab:0,autoCapitalize:0,autoCorrect:0,autoSave:0,color:0,itemProp:0,itemScope:o,itemType:0,itemID:0,itemRef:0,results:0,security:0,unselectable:0},DOMAttributeNames:{acceptCharset:\"accept-charset\",className:\"class\",htmlFor:\"for\",httpEquiv:\"http-equiv\"},DOMPropertyNames:{},DOMMutationMethods:{value:function(t,e){if(null==e)return t.removeAttribute(\"value\");\"number\"!==t.type||!1===t.hasAttribute(\"value\")?t.setAttribute(\"value\",\"\"+e):t.validity&&!t.validity.badInput&&t.ownerDocument.activeElement!==t&&t.setAttribute(\"value\",\"\"+e)}}};t.exports=s},function(t,e,n){\"use strict\";(function(e){function r(t,e,n,r){var i=void 0===t[n];null!=e&&i&&(t[n]=o(e,!0))}var i=n(24),o=n(174),a=(n(85),n(96)),u=n(177);n(2);void 0!==e&&e.env;var c={instantiateChildren:function(t,e,n,i){if(null==t)return null;var o={};return u(t,r,o),o},updateChildren:function(t,e,n,r,u,c,s,l,f){if(e||t){var p,h;for(p in e)if(e.hasOwnProperty(p)){h=t&&t[p];var d=h&&h._currentElement,v=e[p];if(null!=h&&a(d,v))i.receiveComponent(h,v,u,l),e[p]=h;else{h&&(r[p]=i.getHostNode(h),i.unmountComponent(h,!1));var g=o(v,!0);e[p]=g;var m=i.mountComponent(g,u,c,s,l,f);n.push(m)}}for(p in t)!t.hasOwnProperty(p)||e&&e.hasOwnProperty(p)||(h=t[p],r[p]=i.getHostNode(h),i.unmountComponent(h,!1))}},unmountChildren:function(t,e){for(var n in t)if(t.hasOwnProperty(n)){var r=t[n];i.unmountComponent(r,e)}}};t.exports=c}).call(e,n(156))},function(t,e,n){\"use strict\";var r=n(82),i=n(364),o={processChildrenUpdates:i.dangerouslyProcessChildrenUpdates,replaceNodeWithMarkup:r.dangerouslyReplaceNodeWithMarkup};t.exports=o},function(t,e,n){\"use strict\";function r(t){}function i(t){return!(!t.prototype||!t.prototype.isReactComponent)}function o(t){return!(!t.prototype||!t.prototype.isPureReactComponent)}var a=n(1),u=n(3),c=n(26),s=n(87),l=n(15),f=n(88),p=n(39),h=(n(9),n(168)),d=n(24),v=n(51),g=(n(0),n(81)),m=n(96),y=(n(2),{ImpureClass:0,PureClass:1,StatelessFunctional:2});r.prototype.render=function(){var t=p.get(this)._currentElement.type,e=t(this.props,this.context,this.updater);return e};var _=1,b={construct:function(t){this._currentElement=t,this._rootNodeID=0,this._compositeType=null,this._instance=null,this._hostParent=null,this._hostContainerInfo=null,this._updateBatchNumber=null,this._pendingElement=null,this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._renderedNodeType=null,this._renderedComponent=null,this._context=null,this._mountOrder=0,this._topLevelWrapper=null,this._pendingCallbacks=null,this._calledComponentWillUnmount=!1},mountComponent:function(t,e,n,u){this._context=u,this._mountOrder=_++,this._hostParent=e,this._hostContainerInfo=n;var s,l=this._currentElement.props,f=this._processContext(u),h=this._currentElement.type,d=t.getUpdateQueue(),g=i(h),m=this._constructComponent(g,l,f,d);g||null!=m&&null!=m.render?o(h)?this._compositeType=y.PureClass:this._compositeType=y.ImpureClass:(s=m,null===m||!1===m||c.isValidElement(m)||a(\"105\",h.displayName||h.name||\"Component\"),m=new r(h),this._compositeType=y.StatelessFunctional);m.props=l,m.context=f,m.refs=v,m.updater=d,this._instance=m,p.set(m,this);var b=m.state;void 0===b&&(m.state=b=null),(\"object\"!=typeof b||Array.isArray(b))&&a(\"106\",this.getName()||\"ReactCompositeComponent\"),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1;var x;return x=m.unstable_handleError?this.performInitialMountWithErrorHandling(s,e,n,t,u):this.performInitialMount(s,e,n,t,u),m.componentDidMount&&t.getReactMountReady().enqueue(m.componentDidMount,m),x},_constructComponent:function(t,e,n,r){return this._constructComponentWithoutOwner(t,e,n,r)},_constructComponentWithoutOwner:function(t,e,n,r){var i=this._currentElement.type;return t?new i(e,n,r):i(e,n,r)},performInitialMountWithErrorHandling:function(t,e,n,r,i){var o,a=r.checkpoint();try{o=this.performInitialMount(t,e,n,r,i)}catch(u){r.rollback(a),this._instance.unstable_handleError(u),this._pendingStateQueue&&(this._instance.state=this._processPendingState(this._instance.props,this._instance.context)),a=r.checkpoint(),this._renderedComponent.unmountComponent(!0),r.rollback(a),o=this.performInitialMount(t,e,n,r,i)}return o},performInitialMount:function(t,e,n,r,i){var o=this._instance,a=0;o.componentWillMount&&(o.componentWillMount(),this._pendingStateQueue&&(o.state=this._processPendingState(o.props,o.context))),void 0===t&&(t=this._renderValidatedComponent());var u=h.getType(t);this._renderedNodeType=u;var c=this._instantiateReactComponent(t,u!==h.EMPTY);this._renderedComponent=c;var s=d.mountComponent(c,r,e,n,this._processChildContext(i),a);return s},getHostNode:function(){return d.getHostNode(this._renderedComponent)},unmountComponent:function(t){if(this._renderedComponent){var e=this._instance;if(e.componentWillUnmount&&!e._calledComponentWillUnmount)if(e._calledComponentWillUnmount=!0,t){var n=this.getName()+\".componentWillUnmount()\";f.invokeGuardedCallback(n,e.componentWillUnmount.bind(e))}else e.componentWillUnmount();this._renderedComponent&&(d.unmountComponent(this._renderedComponent,t),this._renderedNodeType=null,this._renderedComponent=null,this._instance=null),this._pendingStateQueue=null,this._pendingReplaceState=!1,this._pendingForceUpdate=!1,this._pendingCallbacks=null,this._pendingElement=null,this._context=null,this._rootNodeID=0,this._topLevelWrapper=null,p.remove(e)}},_maskContext:function(t){var e=this._currentElement.type,n=e.contextTypes;if(!n)return v;var r={};for(var i in n)r[i]=t[i];return r},_processContext:function(t){var e=this._maskContext(t);return e},_processChildContext:function(t){var e,n=this._currentElement.type,r=this._instance;if(r.getChildContext&&(e=r.getChildContext()),e){\"object\"!=typeof n.childContextTypes&&a(\"107\",this.getName()||\"ReactCompositeComponent\");for(var i in e)i in n.childContextTypes||a(\"108\",this.getName()||\"ReactCompositeComponent\",i);return u({},t,e)}return t},_checkContextTypes:function(t,e,n){},receiveComponent:function(t,e,n){var r=this._currentElement,i=this._context;this._pendingElement=null,this.updateComponent(e,r,t,i,n)},performUpdateIfNecessary:function(t){null!=this._pendingElement?d.receiveComponent(this,this._pendingElement,t,this._context):null!==this._pendingStateQueue||this._pendingForceUpdate?this.updateComponent(t,this._currentElement,this._currentElement,this._context,this._context):this._updateBatchNumber=null},updateComponent:function(t,e,n,r,i){var o=this._instance;null==o&&a(\"136\",this.getName()||\"ReactCompositeComponent\");var u,c=!1;this._context===i?u=o.context:(u=this._processContext(i),c=!0);var s=e.props,l=n.props;e!==n&&(c=!0),c&&o.componentWillReceiveProps&&o.componentWillReceiveProps(l,u);var f=this._processPendingState(l,u),p=!0;this._pendingForceUpdate||(o.shouldComponentUpdate?p=o.shouldComponentUpdate(l,f,u):this._compositeType===y.PureClass&&(p=!g(s,l)||!g(o.state,f))),this._updateBatchNumber=null,p?(this._pendingForceUpdate=!1,this._performComponentUpdate(n,l,f,u,t,i)):(this._currentElement=n,this._context=i,o.props=l,o.state=f,o.context=u)},_processPendingState:function(t,e){var n=this._instance,r=this._pendingStateQueue,i=this._pendingReplaceState;if(this._pendingReplaceState=!1,this._pendingStateQueue=null,!r)return n.state;if(i&&1===r.length)return r[0];for(var o=u({},i?r[0]:n.state),a=i?1:0;a<r.length;a++){var c=r[a];u(o,\"function\"==typeof c?c.call(n,o,t,e):c)}return o},_performComponentUpdate:function(t,e,n,r,i,o){var a,u,c,s=this._instance,l=Boolean(s.componentDidUpdate);l&&(a=s.props,u=s.state,c=s.context),s.componentWillUpdate&&s.componentWillUpdate(e,n,r),this._currentElement=t,this._context=o,s.props=e,s.state=n,s.context=r,this._updateRenderedComponent(i,o),l&&i.getReactMountReady().enqueue(s.componentDidUpdate.bind(s,a,u,c),s)},_updateRenderedComponent:function(t,e){var n=this._renderedComponent,r=n._currentElement,i=this._renderValidatedComponent(),o=0;if(m(r,i))d.receiveComponent(n,i,t,this._processChildContext(e));else{var a=d.getHostNode(n);d.unmountComponent(n,!1);var u=h.getType(i);this._renderedNodeType=u;var c=this._instantiateReactComponent(i,u!==h.EMPTY);this._renderedComponent=c;var s=d.mountComponent(c,t,this._hostParent,this._hostContainerInfo,this._processChildContext(e),o);this._replaceNodeWithMarkup(a,s,n)}},_replaceNodeWithMarkup:function(t,e,n){s.replaceNodeWithMarkup(t,e,n)},_renderValidatedComponentWithoutOwnerOrContext:function(){var t=this._instance;return t.render()},_renderValidatedComponent:function(){var t;if(this._compositeType!==y.StatelessFunctional){l.current=this;try{t=this._renderValidatedComponentWithoutOwnerOrContext()}finally{l.current=null}}else t=this._renderValidatedComponentWithoutOwnerOrContext();return null===t||!1===t||c.isValidElement(t)||a(\"109\",this.getName()||\"ReactCompositeComponent\"),t},attachRef:function(t,e){var n=this.getPublicInstance();null==n&&a(\"110\");var r=e.getPublicInstance();(n.refs===v?n.refs={}:n.refs)[t]=r},detachRef:function(t){delete this.getPublicInstance().refs[t]},getName:function(){var t=this._currentElement.type,e=this._instance&&this._instance.constructor;return t.displayName||e&&e.displayName||t.name||e&&e.name||null},getPublicInstance:function(){var t=this._instance;return this._compositeType===y.StatelessFunctional?null:t},_instantiateReactComponent:null};t.exports=b},function(t,e,n){\"use strict\";var r=n(4),i=n(372),o=n(167),a=n(24),u=n(12),c=n(385),s=n(401),l=n(171),f=n(408);n(2);i.inject();var p={findDOMNode:s,render:o.render,unmountComponentAtNode:o.unmountComponentAtNode,version:c,unstable_batchedUpdates:u.batchedUpdates,unstable_renderSubtreeIntoContainer:f};\"undefined\"!=typeof __REACT_DEVTOOLS_GLOBAL_HOOK__&&\"function\"==typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.inject&&__REACT_DEVTOOLS_GLOBAL_HOOK__.inject({ComponentTree:{getClosestInstanceFromNode:r.getClosestInstanceFromNode,getNodeFromInstance:function(t){return t._renderedComponent&&(t=l(t)),t?r.getNodeFromInstance(t):null}},Mount:o,Reconciler:a});t.exports=p},function(t,e,n){\"use strict\";function r(t){if(t){var e=t._currentElement._owner||null;if(e){var n=e.getName();if(n)return\" This DOM node was rendered by `\"+n+\"`.\"}}return\"\"}function i(t,e){e&&($[t._tag]&&(null!=e.children||null!=e.dangerouslySetInnerHTML)&&g(\"137\",t._tag,t._currentElement._owner?\" Check the render method of 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Y)Y.hasOwnProperty(n)&&t._wrapperState.listeners.push(M.trapBubbledEvent(n,Y[n],e));break;case\"source\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topError\",\"error\",e)];break;case\"img\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topError\",\"error\",e),M.trapBubbledEvent(\"topLoad\",\"load\",e)];break;case\"form\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topReset\",\"reset\",e),M.trapBubbledEvent(\"topSubmit\",\"submit\",e)];break;case\"input\":case\"select\":case\"textarea\":t._wrapperState.listeners=[M.trapBubbledEvent(\"topInvalid\",\"invalid\",e)]}}function p(){P.postUpdateWrapper(this)}function h(t){Z.call(Q,t)||(X.test(t)||g(\"65\",t),Q[t]=!0)}function d(t,e){return t.indexOf(\"-\")>=0||null!=e.is}function v(t){var e=t.type;h(e),this._currentElement=t,this._tag=e.toLowerCase(),this._namespaceURI=null,this._renderedChildren=null,this._previousStyle=null,this._previousStyleCopy=null,this._hostNode=null,this._hostParent=null,this._rootNodeID=0,this._domID=0,this._hostContainerInfo=null,this._wrapperState=null,this._topLevelWrapper=null,this._flags=0}var g=n(1),m=n(3),y=n(346),_=n(348),b=n(20),x=n(83),w=n(21),C=n(160),k=n(22),E=n(84),M=n(53),T=n(161),S=n(4),N=n(365),A=n(366),P=n(162),O=n(369),I=(n(9),n(378)),D=n(383),R=(n(11),n(56)),L=(n(0),n(95),n(81),n(173)),U=(n(97),n(2),T),F=k.deleteListener,j=S.getNodeFromInstance,B=M.listenTo,V=E.registrationNameModules,W={string:!0,number:!0},z=\"__html\",H={children:null,dangerouslySetInnerHTML:null,suppressContentEditableWarning:null},q=11,Y={topAbort:\"abort\",topCanPlay:\"canplay\",topCanPlayThrough:\"canplaythrough\",topDurationChange:\"durationchange\",topEmptied:\"emptied\",topEncrypted:\"encrypted\",topEnded:\"ended\",topError:\"error\",topLoadedData:\"loadeddata\",topLoadedMetadata:\"loadedmetadata\",topLoadStart:\"loadstart\",topPause:\"pause\",topPlay:\"play\",topPlaying:\"playing\",topProgress:\"progress\",topRateChange:\"ratechange\",topSeeked:\"seeked\",topSeeking:\"seeking\",topStalled:\"stalled\",topSuspend:\"suspend\",topTimeUpdate:\"timeupdate\",topVolumeChange:\"volumechange\",topWaiting:\"waiting\"},K={area:!0,base:!0,br:!0,col:!0,embed:!0,hr:!0,img:!0,input:!0,keygen:!0,link:!0,meta:!0,param:!0,source:!0,track:!0,wbr:!0},G={listing:!0,pre:!0,textarea:!0},$=m({menuitem:!0},K),X=/^[a-zA-Z][a-zA-Z:_\\.\\-\\d]*$/,Q={},Z={}.hasOwnProperty,J=1;v.displayName=\"ReactDOMComponent\",v.Mixin={mountComponent:function(t,e,n,r){this._rootNodeID=J++,this._domID=n._idCounter++,this._hostParent=e,this._hostContainerInfo=n;var o=this._currentElement.props;switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":this._wrapperState={listeners:null},t.getReactMountReady().enqueue(f,this);break;case\"input\":N.mountWrapper(this,o,e),o=N.getHostProps(this,o),t.getReactMountReady().enqueue(l,this),t.getReactMountReady().enqueue(f,this);break;case\"option\":A.mountWrapper(this,o,e),o=A.getHostProps(this,o);break;case\"select\":P.mountWrapper(this,o,e),o=P.getHostProps(this,o),t.getReactMountReady().enqueue(f,this);break;case\"textarea\":O.mountWrapper(this,o,e),o=O.getHostProps(this,o),t.getReactMountReady().enqueue(l,this),t.getReactMountReady().enqueue(f,this)}i(this,o);var a,p;null!=e?(a=e._namespaceURI,p=e._tag):n._tag&&(a=n._namespaceURI,p=n._tag),(null==a||a===x.svg&&\"foreignobject\"===p)&&(a=x.html),a===x.html&&(\"svg\"===this._tag?a=x.svg:\"math\"===this._tag&&(a=x.mathml)),this._namespaceURI=a;var h;if(t.useCreateElement){var d,v=n._ownerDocument;if(a===x.html)if(\"script\"===this._tag){var g=v.createElement(\"div\"),m=this._currentElement.type;g.innerHTML=\"<\"+m+\"></\"+m+\">\",d=g.removeChild(g.firstChild)}else d=o.is?v.createElement(this._currentElement.type,o.is):v.createElement(this._currentElement.type);else d=v.createElementNS(a,this._currentElement.type);S.precacheNode(this,d),this._flags|=U.hasCachedChildNodes,this._hostParent||C.setAttributeForRoot(d),this._updateDOMProperties(null,o,t);var _=b(d);this._createInitialChildren(t,o,r,_),h=_}else{var w=this._createOpenTagMarkupAndPutListeners(t,o),k=this._createContentMarkup(t,o,r);h=!k&&K[this._tag]?w+\"/>\":w+\">\"+k+\"</\"+this._currentElement.type+\">\"}switch(this._tag){case\"input\":t.getReactMountReady().enqueue(u,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"textarea\":t.getReactMountReady().enqueue(c,this),o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"select\":case\"button\":o.autoFocus&&t.getReactMountReady().enqueue(y.focusDOMComponent,this);break;case\"option\":t.getReactMountReady().enqueue(s,this)}return h},_createOpenTagMarkupAndPutListeners:function(t,e){var n=\"<\"+this._currentElement.type;for(var r in e)if(e.hasOwnProperty(r)){var i=e[r];if(null!=i)if(V.hasOwnProperty(r))i&&o(this,r,i,t);else{\"style\"===r&&(i&&(i=this._previousStyleCopy=m({},e.style)),i=_.createMarkupForStyles(i,this));var a=null;null!=this._tag&&d(this._tag,e)?H.hasOwnProperty(r)||(a=C.createMarkupForCustomAttribute(r,i)):a=C.createMarkupForProperty(r,i),a&&(n+=\" \"+a)}}return t.renderToStaticMarkup?n:(this._hostParent||(n+=\" \"+C.createMarkupForRoot()),n+=\" \"+C.createMarkupForID(this._domID))},_createContentMarkup:function(t,e,n){var r=\"\",i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&(r=i.__html);else{var o=W[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)r=R(o);else if(null!=a){var u=this.mountChildren(a,t,n);r=u.join(\"\")}}return G[this._tag]&&\"\\n\"===r.charAt(0)?\"\\n\"+r:r},_createInitialChildren:function(t,e,n,r){var i=e.dangerouslySetInnerHTML;if(null!=i)null!=i.__html&&b.queueHTML(r,i.__html);else{var o=W[typeof e.children]?e.children:null,a=null!=o?null:e.children;if(null!=o)\"\"!==o&&b.queueText(r,o);else if(null!=a)for(var u=this.mountChildren(a,t,n),c=0;c<u.length;c++)b.queueChild(r,u[c])}},receiveComponent:function(t,e,n){var r=this._currentElement;this._currentElement=t,this.updateComponent(e,r,t,n)},updateComponent:function(t,e,n,r){var o=e.props,a=this._currentElement.props;switch(this._tag){case\"input\":o=N.getHostProps(this,o),a=N.getHostProps(this,a);break;case\"option\":o=A.getHostProps(this,o),a=A.getHostProps(this,a);break;case\"select\":o=P.getHostProps(this,o),a=P.getHostProps(this,a);break;case\"textarea\":o=O.getHostProps(this,o),a=O.getHostProps(this,a)}switch(i(this,a),this._updateDOMProperties(o,a,t),this._updateDOMChildren(o,a,t,r),this._tag){case\"input\":N.updateWrapper(this),L.updateValueIfChanged(this);break;case\"textarea\":O.updateWrapper(this);break;case\"select\":t.getReactMountReady().enqueue(p,this)}},_updateDOMProperties:function(t,e,n){var r,i,a;for(r in t)if(!e.hasOwnProperty(r)&&t.hasOwnProperty(r)&&null!=t[r])if(\"style\"===r){var u=this._previousStyleCopy;for(i in u)u.hasOwnProperty(i)&&(a=a||{},a[i]=\"\");this._previousStyleCopy=null}else V.hasOwnProperty(r)?t[r]&&F(this,r):d(this._tag,t)?H.hasOwnProperty(r)||C.deleteValueForAttribute(j(this),r):(w.properties[r]||w.isCustomAttribute(r))&&C.deleteValueForProperty(j(this),r);for(r in e){var c=e[r],s=\"style\"===r?this._previousStyleCopy:null!=t?t[r]:void 0;if(e.hasOwnProperty(r)&&c!==s&&(null!=c||null!=s))if(\"style\"===r)if(c?c=this._previousStyleCopy=m({},c):this._previousStyleCopy=null,s){for(i in s)!s.hasOwnProperty(i)||c&&c.hasOwnProperty(i)||(a=a||{},a[i]=\"\");for(i in c)c.hasOwnProperty(i)&&s[i]!==c[i]&&(a=a||{},a[i]=c[i])}else a=c;else if(V.hasOwnProperty(r))c?o(this,r,c,n):s&&F(this,r);else if(d(this._tag,e))H.hasOwnProperty(r)||C.setValueForAttribute(j(this),r,c);else if(w.properties[r]||w.isCustomAttribute(r)){var l=j(this);null!=c?C.setValueForProperty(l,r,c):C.deleteValueForProperty(l,r)}}a&&_.setValueForStyles(j(this),a,this)},_updateDOMChildren:function(t,e,n,r){var i=W[typeof t.children]?t.children:null,o=W[typeof e.children]?e.children:null,a=t.dangerouslySetInnerHTML&&t.dangerouslySetInnerHTML.__html,u=e.dangerouslySetInnerHTML&&e.dangerouslySetInnerHTML.__html,c=null!=i?null:t.children,s=null!=o?null:e.children,l=null!=i||null!=a,f=null!=o||null!=u;null!=c&&null==s?this.updateChildren(null,n,r):l&&!f&&this.updateTextContent(\"\"),null!=o?i!==o&&this.updateTextContent(\"\"+o):null!=u?a!==u&&this.updateMarkup(\"\"+u):null!=s&&this.updateChildren(s,n,r)},getHostNode:function(){return j(this)},unmountComponent:function(t){switch(this._tag){case\"audio\":case\"form\":case\"iframe\":case\"img\":case\"link\":case\"object\":case\"source\":case\"video\":var e=this._wrapperState.listeners;if(e)for(var n=0;n<e.length;n++)e[n].remove();break;case\"input\":case\"textarea\":L.stopTracking(this);break;case\"html\":case\"head\":case\"body\":g(\"66\",this._tag)}this.unmountChildren(t),S.uncacheNode(this),k.deleteAllListeners(this),this._rootNodeID=0,this._domID=0,this._wrapperState=null},getPublicInstance:function(){return j(this)}},m(v.prototype,v.Mixin,I.Mixin),t.exports=v},function(t,e,n){\"use strict\";function r(t,e){var n={_topLevelWrapper:t,_idCounter:1,_ownerDocument:e?e.nodeType===i?e:e.ownerDocument:null,_node:e,_tag:e?e.nodeName.toLowerCase():null,_namespaceURI:e?e.namespaceURI:null};return n}var i=(n(97),9);t.exports=r},function(t,e,n){\"use strict\";var r=n(3),i=n(20),o=n(4),a=function(t){this._currentElement=null,this._hostNode=null,this._hostParent=null,this._hostContainerInfo=null,this._domID=0};r(a.prototype,{mountComponent:function(t,e,n,r){var a=n._idCounter++;this._domID=a,this._hostParent=e,this._hostContainerInfo=n;var u=\" react-empty: \"+this._domID+\" 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c=u.querySelectorAll(\"input[name=\"+JSON.stringify(\"\"+i)+'][type=\"radio\"]'),p=0;p<c.length;p++){var h=c[p];if(h!==o&&h.form===o.form){var d=l.getInstanceFromNode(h);d||a(\"90\"),f.asap(r,d)}}}return n}var a=n(1),u=n(3),c=n(160),s=n(86),l=n(4),f=n(12),p=(n(0),n(2),{getHostProps:function(t,e){var n=s.getValue(e),r=s.getChecked(e);return u({type:void 0,step:void 0,min:void 0,max:void 0},e,{defaultChecked:void 0,defaultValue:void 0,value:null!=n?n:t._wrapperState.initialValue,checked:null!=r?r:t._wrapperState.initialChecked,onChange:t._wrapperState.onChange})},mountWrapper:function(t,e){var n=e.defaultValue;t._wrapperState={initialChecked:null!=e.checked?e.checked:e.defaultChecked,initialValue:null!=e.value?e.value:n,listeners:null,onChange:o.bind(t),controlled:i(e)}},updateWrapper:function(t){var e=t._currentElement.props,n=e.checked;null!=n&&c.setValueForProperty(l.getNodeFromInstance(t),\"checked\",n||!1);var r=l.getNodeFromInstance(t),i=s.getValue(e);if(null!=i)if(0===i&&\"\"===r.value)r.value=\"0\";else if(\"number\"===e.type){var o=parseFloat(r.value,10)||0;(i!=o||i==o&&r.value!=i)&&(r.value=\"\"+i)}else r.value!==\"\"+i&&(r.value=\"\"+i);else null==e.value&&null!=e.defaultValue&&r.defaultValue!==\"\"+e.defaultValue&&(r.defaultValue=\"\"+e.defaultValue),null==e.checked&&null!=e.defaultChecked&&(r.defaultChecked=!!e.defaultChecked)},postMountWrapper:function(t){var e=t._currentElement.props,n=l.getNodeFromInstance(t);switch(e.type){case\"submit\":case\"reset\":break;case\"color\":case\"date\":case\"datetime\":case\"datetime-local\":case\"month\":case\"time\":case\"week\":n.value=\"\",n.value=n.defaultValue;break;default:n.value=n.value}var r=n.name;\"\"!==r&&(n.name=\"\"),n.defaultChecked=!n.defaultChecked,n.defaultChecked=!n.defaultChecked,\"\"!==r&&(n.name=r)}});t.exports=p},function(t,e,n){\"use strict\";function r(t){var e=\"\";return o.Children.forEach(t,function(t){null!=t&&(\"string\"==typeof t||\"number\"==typeof t?e+=t:c||(c=!0))}),e}var i=n(3),o=n(26),a=n(4),u=n(162),c=(n(2),!1),s={mountWrapper:function(t,e,n){var i=null;if(null!=n){var o=n;\"optgroup\"===o._tag&&(o=o._hostParent),null!=o&&\"select\"===o._tag&&(i=u.getSelectValueContext(o))}var a=null;if(null!=i){var c;if(c=null!=e.value?e.value+\"\":r(e.children),a=!1,Array.isArray(i)){for(var s=0;s<i.length;s++)if(\"\"+i[s]===c){a=!0;break}}else a=\"\"+i===c}t._wrapperState={selected:a}},postMountWrapper:function(t){var e=t._currentElement.props;if(null!=e.value){a.getNodeFromInstance(t).setAttribute(\"value\",e.value)}},getHostProps:function(t,e){var n=i({selected:void 0,children:void 0},e);null!=t._wrapperState.selected&&(n.selected=t._wrapperState.selected);var o=r(e.children);return o&&(n.children=o),n}};t.exports=s},function(t,e,n){\"use strict\";function r(t,e,n,r){return t===n&&e===r}function i(t){var e=document.selection,n=e.createRange(),r=n.text.length,i=n.duplicate();i.moveToElementText(t),i.setEndPoint(\"EndToStart\",n);var o=i.text.length;return{start:o,end:o+r}}function o(t){var e=window.getSelection&&window.getSelection();if(!e||0===e.rangeCount)return null;var n=e.anchorNode,i=e.anchorOffset,o=e.focusNode,a=e.focusOffset,u=e.getRangeAt(0);try{u.startContainer.nodeType,u.endContainer.nodeType}catch(t){return null}var c=r(e.anchorNode,e.anchorOffset,e.focusNode,e.focusOffset),s=c?0:u.toString().length,l=u.cloneRange();l.selectNodeContents(t),l.setEnd(u.startContainer,u.startOffset);var f=r(l.startContainer,l.startOffset,l.endContainer,l.endOffset),p=f?0:l.toString().length,h=p+s,d=document.createRange();d.setStart(n,i),d.setEnd(o,a);var v=d.collapsed;return{start:v?h:p,end:v?p:h}}function a(t,e){var n,r,i=document.selection.createRange().duplicate();void 0===e.end?(n=e.start,r=n):e.start>e.end?(n=e.end,r=e.start):(n=e.start,r=e.end),i.moveToElementText(t),i.moveStart(\"character\",n),i.setEndPoint(\"EndToStart\",i),i.moveEnd(\"character\",r-n),i.select()}function u(t,e){if(window.getSelection){var n=window.getSelection(),r=t[l()].length,i=Math.min(e.start,r),o=void 0===e.end?i:Math.min(e.end,r);if(!n.extend&&i>o){var a=o;o=i,i=a}var u=s(t,i),c=s(t,o);if(u&&c){var f=document.createRange();f.setStart(u.node,u.offset),n.removeAllRanges(),i>o?(n.addRange(f),n.extend(c.node,c.offset)):(f.setEnd(c.node,c.offset),n.addRange(f))}}}var c=n(6),s=n(405),l=n(172),f=c.canUseDOM&&\"selection\"in document&&!(\"getSelection\"in window),p={getOffsets:f?i:o,setOffsets:f?a:u};t.exports=p},function(t,e,n){\"use strict\";var r=n(1),i=n(3),o=n(82),a=n(20),u=n(4),c=n(56),s=(n(0),n(97),function(t){this._currentElement=t,this._stringText=\"\"+t,this._hostNode=null,this._hostParent=null,this._domID=0,this._mountIndex=0,this._closingComment=null,this._commentNodes=null});i(s.prototype,{mountComponent:function(t,e,n,r){var i=n._idCounter++,o=\" react-text: \"+i+\" \";if(this._domID=i,this._hostParent=e,t.useCreateElement){var s=n._ownerDocument,l=s.createComment(o),f=s.createComment(\" /react-text \"),p=a(s.createDocumentFragment());return a.queueChild(p,a(l)),this._stringText&&a.queueChild(p,a(s.createTextNode(this._stringText))),a.queueChild(p,a(f)),u.precacheNode(this,l),this._closingComment=f,p}var h=c(this._stringText);return t.renderToStaticMarkup?h:\"\\x3c!--\"+o+\"--\\x3e\"+h+\"\\x3c!-- /react-text --\\x3e\"},receiveComponent:function(t,e){if(t!==this._currentElement){this._currentElement=t;var n=\"\"+t;if(n!==this._stringText){this._stringText=n;var r=this.getHostNode();o.replaceDelimitedText(r[0],r[1],n)}}},getHostNode:function(){var t=this._commentNodes;if(t)return t;if(!this._closingComment)for(var e=u.getNodeFromInstance(this),n=e.nextSibling;;){if(null==n&&r(\"67\",this._domID),8===n.nodeType&&\" /react-text \"===n.nodeValue){this._closingComment=n;break}n=n.nextSibling}return t=[this._hostNode,this._closingComment],this._commentNodes=t,t},unmountComponent:function(){this._closingComment=null,this._commentNodes=null,u.uncacheNode(this)}}),t.exports=s},function(t,e,n){\"use strict\";function r(){this._rootNodeID&&l.updateWrapper(this)}function i(t){var e=this._currentElement.props,n=u.executeOnChange(e,t);return s.asap(r,this),n}var o=n(1),a=n(3),u=n(86),c=n(4),s=n(12),l=(n(0),n(2),{getHostProps:function(t,e){return null!=e.dangerouslySetInnerHTML&&o(\"91\"),a({},e,{value:void 0,defaultValue:void 0,children:\"\"+t._wrapperState.initialValue,onChange:t._wrapperState.onChange})},mountWrapper:function(t,e){var n=u.getValue(e),r=n;if(null==n){var a=e.defaultValue,c=e.children;null!=c&&(null!=a&&o(\"92\"),Array.isArray(c)&&(c.length<=1||o(\"93\"),c=c[0]),a=\"\"+c),null==a&&(a=\"\"),r=a}t._wrapperState={initialValue:\"\"+r,listeners:null,onChange:i.bind(t)}},updateWrapper:function(t){var e=t._currentElement.props,n=c.getNodeFromInstance(t),r=u.getValue(e);if(null!=r){var i=\"\"+r;i!==n.value&&(n.value=i),null==e.defaultValue&&(n.defaultValue=i)}null!=e.defaultValue&&(n.defaultValue=e.defaultValue)},postMountWrapper:function(t){var e=c.getNodeFromInstance(t),n=e.textContent;n===t._wrapperState.initialValue&&(e.value=n)}});t.exports=l},function(t,e,n){\"use strict\";function r(t,e){\"_hostNode\"in t||c(\"33\"),\"_hostNode\"in e||c(\"33\");for(var n=0,r=t;r;r=r._hostParent)n++;for(var i=0,o=e;o;o=o._hostParent)i++;for(;n-i>0;)t=t._hostParent,n--;for(;i-n>0;)e=e._hostParent,i--;for(var a=n;a--;){if(t===e)return t;t=t._hostParent,e=e._hostParent}return null}function i(t,e){\"_hostNode\"in 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i=n(345),o=n(347),a=n(349),u=n(351),c=n(352),s=n(355),l=n(357),f=n(360),p=n(4),h=n(362),d=n(370),v=n(368),g=n(371),m=n(375),y=n(376),_=n(381),b=n(386),x=n(387),w=n(388),C=!1;t.exports={inject:r}},function(t,e,n){\"use strict\";var r=\"function\"==typeof Symbol&&Symbol.for&&Symbol.for(\"react.element\")||60103;t.exports=r},function(t,e,n){\"use strict\";function r(t){i.enqueueEvents(t),i.processEventQueue(!1)}var i=n(22),o={handleTopLevel:function(t,e,n,o){r(i.extractEvents(t,e,n,o))}};t.exports=o},function(t,e,n){\"use strict\";function r(t){for(;t._hostParent;)t=t._hostParent;var e=f.getNodeFromInstance(t),n=e.parentNode;return f.getClosestInstanceFromNode(n)}function i(t,e){this.topLevelType=t,this.nativeEvent=e,this.ancestors=[]}function o(t){var e=h(t.nativeEvent),n=f.getClosestInstanceFromNode(e),i=n;do{t.ancestors.push(i),i=i&&r(i)}while(i);for(var o=0;o<t.ancestors.length;o++)n=t.ancestors[o],v._handleTopLevel(t.topLevelType,n,t.nativeEvent,h(t.nativeEvent))}function 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      ],
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# SHAP\n",
    "shap.initjs()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": [
    "# Creamos el explainer con nuestro modelo.\n",
    "explainer = shap.TreeExplainer(rf_model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "preg    10.000\n",
      "plas    94.000\n",
      "pres    72.000\n",
      "skin    18.000\n",
      "test     0.000\n",
      "mass    23.100\n",
      "pedi     0.595\n",
      "age     56.000\n",
      "Name: 717, dtype: float64\n",
      "Expected:  0\n"
     ]
    }
   ],
   "source": [
    "# Obtenemos una observación.\n",
    "i = 0\n",
    "observation = x_test.iloc[i]\n",
    "print(observation)\n",
    "print(\"Expected: \", y_test.iloc[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='iPCVYKDGJHV5FEW0RA0B1'>\n",
       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security. If you are using\n",
       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
       "    SHAP.React.createElement(SHAP.AdditiveForceVisualizer, {\"outNames\": [\"output value\"], \"baseValue\": 0.6328210113570094, \"outValue\": 0.8099999957235988, \"link\": \"identity\", \"featureNames\": [\"preg\", \"plas\", \"pres\", \"skin\", \"test\", \"mass\", \"pedi\", \"age\"], \"features\": {\"0\": {\"effect\": -0.056827733229729914, \"value\": 10.0}, \"1\": {\"effect\": 0.1441571423346982, \"value\": 94.0}, \"2\": {\"effect\": 0.0040305724169449894, \"value\": 72.0}, \"3\": {\"effect\": 0.020518846900720755, \"value\": 18.0}, \"4\": {\"effect\": 0.009288084693526164, \"value\": 0.0}, \"5\": {\"effect\": 0.1425821715736404, \"value\": 23.1}, \"6\": {\"effect\": -0.018107463743436948, \"value\": 0.595}, \"7\": {\"effect\": -0.06846263657977421, \"value\": 56.0}}, \"plot_cmap\": \"RdBu\", \"labelMargin\": 20}),\n",
       "    document.getElementById('iPCVYKDGJHV5FEW0RA0B1')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shap_values = explainer.shap_values(observation)\n",
    "shap.force_plot(explainer.expected_value[0], shap_values[0], features=observation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id='iJ7QRR9Q423BW5IRL6RJE'>\n",
       "<div style='color: #900; text-align: center;'>\n",
       "  <b>Visualization omitted, Javascript library not loaded!</b><br>\n",
       "  Have you run `initjs()` in this notebook? If this notebook was from another\n",
       "  user you must also trust this notebook (File -> Trust notebook). If you are viewing\n",
       "  this notebook on github the Javascript has been stripped for security. If you are using\n",
       "  JupyterLab this error is because a JupyterLab extension has not yet been written.\n",
       "</div></div>\n",
       " <script>\n",
       "   if (window.SHAP) SHAP.ReactDom.render(\n",
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       "    document.getElementById('iJ7QRR9Q423BW5IRL6RJE')\n",
       "  );\n",
       "</script>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_shap_values = explainer.shap_values(x_train)\n",
    "shap.force_plot(explainer.expected_value[0], all_shap_values[0], features=x_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x338.4 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "shap.summary_plot(all_shap_values[0], features=x_train, feature_names=features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "pycharm": {
     "is_executing": false
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}