Save results of SVC classifier on entire houston crime dataset

Author: rohitgeo

talks/PyDataDelhi2017/ArcGIS Python API for crime mapping, visualization and analysis.ipynb

@@ -2357,13 +2357,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 215,
    "metadata": {
     "collapsed": false,
     "deletable": true,
     "editable": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
+       "  decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',\n",
+       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
+       "  tol=0.001, verbose=False)"
+      ]
+     },
+     "execution_count": 215,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from sklearn.svm import SVC\n",
     "\n",
@@ -2383,26 +2397,48 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 216,
    "metadata": {
     "collapsed": false,
     "deletable": true,
     "editable": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.91283468584793992"
+      ]
+     },
+     "execution_count": 216,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "svc.score(training[features], training.Violent)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 217,
    "metadata": {
     "collapsed": false,
     "deletable": true,
     "editable": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.91278333372186093"
+      ]
+     },
+     "execution_count": 217,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "svc.score(validation[features], validation.Violent)"
    ]