diff --git a/is/UB4/Ex4.ipynb b/is/UB4/Ex4.ipynb
index 235e291..67ceba6 100644
--- a/is/UB4/Ex4.ipynb
+++ b/is/UB4/Ex4.ipynb
@@ -65,7 +65,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 13,
    "metadata": {
     "collapsed": true
    },
@@ -82,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
@@ -156,7 +156,7 @@
        "rkJggg==\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fbe39491128>"
+       "<matplotlib.figure.Figure at 0x7f04ad25e080>"
       ]
      },
      "metadata": {},
@@ -208,7 +208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 31,
    "metadata": {
     "collapsed": false
    },
@@ -292,7 +292,7 @@
        "IS9JE+aQl6QJc8hL0oQ55CVpwhzykjRhDnlJmrD/B3ksmr9zVxpPAAAAAElFTkSuQmCC\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2a86a67a20>"
+       "<matplotlib.figure.Figure at 0x7f04acfea3c8>"
       ]
      },
      "metadata": {},
@@ -363,7 +363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -403,7 +403,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -419,7 +419,7 @@
     "    plt.plot(ytest_, yhat, 'ro')\n",
     "    plt.show()\n",
     "    print('R2 :', lm_.score(Xtest_,ytest_)) ### CHANGE THIS LINE ### \n",
-    "    print('Gene with Strongest Coefficient :' , lm_.coef_.argmax()) ### CHANGE THIS LINE ###\n",
+    "    print('Gene with Strongest Coefficient :' , abs(lm_.coef_).argmax()) ### CHANGE THIS LINE ###\n",
     "    if hasattr(lm_, 'alpha'): print('Used Lambda :', lm.alpha) # if using linear_model.xxx\n",
     "    if hasattr(lm_, 'alpha_'): print('Lambda_ResultOfCV :', lm.alpha_ )# if using linear_model.xxxCV\n",
     "    #print('Regression Coefs :', lm_.coef_) # Can be printed out, if wanted\n",
@@ -442,7 +442,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 18,
    "metadata": {
     "collapsed": false
    },
@@ -684,7 +684,7 @@
        "P6y9WsRWNNGFAAAAAElFTkSuQmCC\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fbe3e2641d0>"
+       "<matplotlib.figure.Figure at 0x7f04acfeadd8>"
       ]
      },
      "metadata": {},
@@ -826,7 +826,7 @@
        "gpmZZZwUzMws46RgZmaZ/w/UkRGe5AzKNQAAAABJRU5ErkJggg==\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fbe39385ba8>"
+       "<matplotlib.figure.Figure at 0x7f04ad0784a8>"
       ]
      },
      "metadata": {},
@@ -842,15 +842,38 @@
     }
    ],
    "source": [
-    "lm = linear_model.LinearRegression()\n",
-    "lm.fit(Xtrain,ytrain)\n",
+    "lmlinear = linear_model.LinearRegression()\n",
+    "lmlinear.fit(Xtrain,ytrain)\n",
     "\n",
-    "printOutput(lm,Xtest,ytest)   ### PROVIDE THE OUTPUT ###"
+    "printOutput(lmlinear,Xtest,ytest)   ### PROVIDE THE OUTPUT ###"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 19,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0.00978251,  0.00190322, -0.00326635, ...,  0.00600652,\n",
+       "        0.004281  ,  0.00292544])"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lmlinear.coef_\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
@@ -860,7 +883,7 @@
      "output_type": "stream",
      "text": [
       "1\n",
-      "0.0477049767412\n"
+      "0.0192863272126\n"
      ]
     }
    ],
@@ -880,7 +903,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 23,
    "metadata": {
     "collapsed": false
    },
@@ -1121,7 +1144,7 @@
        "8rxsxiKVbmgAAAAASUVORK5CYII=\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fbe39007240>"
+       "<matplotlib.figure.Figure at 0x7f04ad3575f8>"
       ]
      },
      "metadata": {},
@@ -1262,7 +1285,7 @@
        "FMzMLOWkYGZmKScFMzNLOSmYmVnKScHMzFJOCmZmlvr/ECwgAcfWfbkAAAAASUVORK5CYII=\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fbe392a8a58>"
+       "<matplotlib.figure.Figure at 0x7f04ad05a518>"
       ]
      },
      "metadata": {},
@@ -1279,7 +1302,7 @@
     }
    ],
    "source": [
-    "lm = linear_model.RidgeCV()  ### CHANGE THIS LINE ###\n",
+    "lm = linear_model.RidgeCV(cv=10)  ### CHANGE THIS LINE ###\n",
     "lm.n_jobs=-1\n",
     "lm.fit(Xtrain, ytrain);\n",
     "\n",
@@ -1295,7 +1318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
@@ -1304,164 +1327,163 @@
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       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fbe385bf630>"
+       "<matplotlib.figure.Figure at 0x7f04ad19a550>"
       ]
      },
      "metadata": {},
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+       "xxj8ktQxBr8kdYzBL0kdY/BLUscY/JLUMf8fhSQtUJsf0TcAAAAASUVORK5CYII=\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7fbe38eccf98>"
+       "<matplotlib.figure.Figure at 0x7f04ad2b4c18>"
       ]
      },
      "metadata": {},
@@ -1592,15 +1613,15 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "R2 : 0.578837234346\n",
+      "R2 : 0.569743223905\n",
       "Gene with Strongest Coefficient : 3152\n",
-      "Lambda_ResultOfCV : 0.000207341599375\n",
+      "Lambda_ResultOfCV : 0.000337915144632\n",
       "Regression Coefficient of Gene 5954 :  0.0\n"
      ]
     }
    ],
    "source": [
-    "lm = linear_model.LassoCV() ### CHANGE THIS LINE ###\n",
+    "lm = linear_model.LassoCV(cv=10) ### CHANGE THIS LINE ###\n",
     "lm.n_jobs=-1\n",
     "lm.max_iter=10000\n",
     "lm.fit(Xtrain, ytrain)\n",
diff --git a/is/UB4/GeneDataSet/Xtest_3290.csv b/is/UB4/GeneDataSet/Xtest_3290.csv
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diff --git a/is/UB4/GeneDataSet/Xtest_4710.csv b/is/UB4/GeneDataSet/Xtest_4710.csv
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diff --git a/is/UB4/GeneDataSet/Xtrain_3290.csv b/is/UB4/GeneDataSet/Xtrain_3290.csv
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diff --git a/is/UB4/GeneDataSet/Xtrain_4710.csv b/is/UB4/GeneDataSet/Xtrain_4710.csv
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diff --git a/is/UB4/GeneDataSet/ytest_3290.csv b/is/UB4/GeneDataSet/ytest_3290.csv
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diff --git a/is/UB4/GeneDataSet/ytest_4710.csv b/is/UB4/GeneDataSet/ytest_4710.csv
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diff --git a/is/UB4/GeneDataSet/ytrain_3290.csv b/is/UB4/GeneDataSet/ytrain_3290.csv
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diff --git a/is/UB4/GeneDataSet/ytrain_4710.csv b/is/UB4/GeneDataSet/ytrain_4710.csv
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