From af4e5b3c494036ab3a2880d417f4421cae4d5e94 Mon Sep 17 00:00:00 2001
From: sunilhariharan <sunilhariharan@gmail.com>
Date: Tue, 27 Nov 2018 13:47:34 +0000
Subject: [PATCH 1/5] Done

---
 __pycache__/__init__.cpython-36.pyc           | Bin 0 -> 152 bytes
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 178 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1140 bytes
 q01_my_decision_regressor/build.py            |  19 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 184 bytes
 ...t_q01_my_decision_regressor.cpython-36.pyc | Bin 0 -> 2995 bytes
 6 files changed, 15 insertions(+), 4 deletions(-)
 create mode 100644 __pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/__pycache__/build.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q01_my_decision_regressor/tests/__pycache__/test_q01_my_decision_regressor.cpython-36.pyc

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diff --git a/q01_my_decision_regressor/__pycache__/__init__.cpython-36.pyc b/q01_my_decision_regressor/__pycache__/__init__.cpython-36.pyc
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diff --git a/q01_my_decision_regressor/build.py b/q01_my_decision_regressor/build.py
index 5eb1927..c746e67 100644
--- a/q01_my_decision_regressor/build.py
+++ b/q01_my_decision_regressor/build.py
@@ -1,3 +1,4 @@
+# %load q01_my_decision_regressor/build.py
 # default imports
 from sklearn.model_selection import GridSearchCV
 from sklearn.tree import DecisionTreeRegressor
@@ -5,13 +6,23 @@
 from sklearn.model_selection import train_test_split
 import pandas as pd
 
-data = pd.read_csv("./data/house_pricing.csv")
+data = pd.read_csv('./data/house_pricing.csv')
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
 
-param_grid = {"max_depth": [2, 3, 5, 6, 8, 10, 15, 20, 30, 50],
-              "max_leaf_nodes": [2, 3, 4, 5, 10, 15, 20],
-              "max_features": [4, 8, 20, 25]}
+param_grid = {'max_depth': [2, 3, 5, 6, 8, 10, 15, 20, 30, 50],
+              'max_leaf_nodes': [2, 3, 4, 5, 10, 15, 20],
+              'max_features': [4, 8, 20, 25]}
 
 # Write your solution here :
+def my_decision_regressor(X_train,X_test,y_train,y_test,param_grid):
+    model=DecisionTreeRegressor(random_state=9)
+    grid_search = GridSearchCV(model,param_grid=param_grid,cv=5)
+    grid_search.fit(X_train,y_train)
+    y_prediction = grid_search.predict(X_test)
+    r_square=r2_score(y_test,y_prediction)  
+    best_params=grid_search.best_params_
+    return r_square,best_params
+
+
diff --git a/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc b/q01_my_decision_regressor/tests/__pycache__/__init__.cpython-36.pyc
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From efb50ac24f0be04f6656309ad1e65007d65d5e9a Mon Sep 17 00:00:00 2001
From: sunilhariharan <sunilhariharan@gmail.com>
Date: Tue, 27 Nov 2018 14:14:21 +0000
Subject: [PATCH 2/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 179 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1206 bytes
 q03_my_decision_classifier/build.py           |  18 ++++++++++++++----
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 185 bytes
 ..._q03_my_decision_classifier.cpython-36.pyc | Bin 0 -> 3031 bytes
 5 files changed, 14 insertions(+), 4 deletions(-)
 create mode 100644 q03_my_decision_classifier/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_my_decision_classifier/__pycache__/build.cpython-36.pyc
 create mode 100644 q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q03_my_decision_classifier/tests/__pycache__/test_q03_my_decision_classifier.cpython-36.pyc

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diff --git a/q03_my_decision_classifier/build.py b/q03_my_decision_classifier/build.py
index 73c9856..f1f8899 100644
--- a/q03_my_decision_classifier/build.py
+++ b/q03_my_decision_classifier/build.py
@@ -1,3 +1,4 @@
+# %load q03_my_decision_classifier/build.py
 # default imports
 from sklearn.model_selection import RandomizedSearchCV
 from sklearn.tree import DecisionTreeClassifier
@@ -6,16 +7,25 @@
 import pandas as pd
 import numpy as np
 
-data = pd.read_csv("./data/loan_prediction.csv")
+data = pd.read_csv('./data/loan_prediction.csv')
 np.random.seed(9)
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
 
-param_grid = {"max_depth": [8, 10, 15, 20],
-              "max_leaf_nodes": [2, 5, 9, 15, 20],
-              "max_features": [1, 2, 3, 5]}
+param_grid = {'max_depth': [8, 10, 15, 20],
+              'max_leaf_nodes': [2, 5, 9, 15, 20],
+              'max_features': [1, 2, 3, 5]}
 
 
 # Write your solution here :
+def my_decision_classifier(X_train,X_test,y_train,y_test,param_grid,n_iter_search=10):
+    model=DecisionTreeClassifier(random_state=9)
+    random_search = RandomizedSearchCV(model,param_distributions=param_grid,n_iter=n_iter_search)
+    random_search.fit(X_train,y_train)
+    y_prediction = random_search.predict(X_test)
+    accuracy=accuracy_score(y_test,y_prediction) 
+    best_params=random_search.best_params_
+    return accuracy,best_params
+
 
diff --git a/q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc b/q03_my_decision_classifier/tests/__pycache__/__init__.cpython-36.pyc
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From 1cbf8403811be976ac91b29e4eb87d4e95c4a821 Mon Sep 17 00:00:00 2001
From: sunilhariharan <sunilhariharan@gmail.com>
Date: Tue, 27 Nov 2018 15:02:28 +0000
Subject: [PATCH 3/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 181 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1583 bytes
 q04_decision_classifier_plot/build.py         |  27 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 187 bytes
 ...04_decision_classifier_plot.cpython-36.pyc | Bin 0 -> 1149 bytes
 5 files changed, 26 insertions(+), 1 deletion(-)
 create mode 100644 q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc
 create mode 100644 q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q04_decision_classifier_plot/tests/__pycache__/test_q04_decision_classifier_plot.cpython-36.pyc

diff --git a/q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc b/q04_decision_classifier_plot/__pycache__/__init__.cpython-36.pyc
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diff --git a/q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc b/q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc
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diff --git a/q04_decision_classifier_plot/build.py b/q04_decision_classifier_plot/build.py
index 44e9e87..6500b13 100644
--- a/q04_decision_classifier_plot/build.py
+++ b/q04_decision_classifier_plot/build.py
@@ -1,3 +1,4 @@
+# %load q04_decision_classifier_plot/build.py
 # default imports
 from sklearn.model_selection import RandomizedSearchCV
 from sklearn.tree import DecisionTreeClassifier
@@ -8,7 +9,7 @@
 import numpy as np
 plt.switch_backend('agg')
 
-data = pd.read_csv("./data/loan_prediction.csv")
+data = pd.read_csv('./data/loan_prediction.csv')
 np.random.seed(9)
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
@@ -18,3 +19,27 @@
 
 
 # Write your solution here :
+def decision_classifier_plot(X_train,X_test,y_train,y_test,depths):
+    train_results=[]
+    test_results=[]
+    depth_list = [8, 10, 15, 20, 50, 100, 120, 150, 175, 200]
+    for depth_list in depth_list:    
+        model=DecisionTreeClassifier(random_state=9,max_depth=depth_list)
+        model.fit(X_train,y_train)
+        train_pred=model.predict(X_train)
+        accuracy=accuracy_score(y_train,train_pred)
+        train_results.append(accuracy)
+
+        test_pred=model.predict(X_test)
+        accuracy1=accuracy_score(y_test,test_pred)
+        test_results.append(accuracy1)
+       
+    plt.plot([8, 10, 15, 20, 50, 100, 120, 150, 175, 200],train_results,'b-',label='Train set')
+    plt.plot([8, 10, 15, 20, 50, 100, 120, 150, 175, 200],test_results,'g-',label='Test set')
+    plt.legend(loc='best')
+    plt.xlabel('depths')
+    plt.ylabel('mean square error')
+    plt.show()
+    
+
+
diff --git a/q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc b/q04_decision_classifier_plot/tests/__pycache__/__init__.cpython-36.pyc
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From c915c47838569aea8af3cf376cf0b395bf0cc623 Mon Sep 17 00:00:00 2001
From: sunilhariharan <sunilhariharan@gmail.com>
Date: Tue, 27 Nov 2018 15:07:37 +0000
Subject: [PATCH 4/5] Done

---
 .../__pycache__/build.cpython-36.pyc          | Bin 1583 -> 1585 bytes
 q04_decision_classifier_plot/build.py         |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)

diff --git a/q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc b/q04_decision_classifier_plot/__pycache__/build.cpython-36.pyc
index cea691dbd1fe5469273ec6ac410cf0e0e4fde9be..e4eaa7e41d8aaab3953dd8b3bf2579b7e063ef5d 100644
GIT binary patch
delta 44
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diff --git a/q04_decision_classifier_plot/build.py b/q04_decision_classifier_plot/build.py
index 6500b13..0756968 100644
--- a/q04_decision_classifier_plot/build.py
+++ b/q04_decision_classifier_plot/build.py
@@ -38,7 +38,7 @@ def decision_classifier_plot(X_train,X_test,y_train,y_test,depths):
     plt.plot([8, 10, 15, 20, 50, 100, 120, 150, 175, 200],test_results,'g-',label='Test set')
     plt.legend(loc='best')
     plt.xlabel('depths')
-    plt.ylabel('mean square error')
+    plt.ylabel('mean accuracy score')
     plt.show()
     
 

From efa67aab3c478cdf805cd95d07677400048001f4 Mon Sep 17 00:00:00 2001
From: sunilhariharan <sunilhariharan@gmail.com>
Date: Tue, 27 Nov 2018 15:14:42 +0000
Subject: [PATCH 5/5] Done

---
 .../__pycache__/__init__.cpython-36.pyc       | Bin 0 -> 180 bytes
 .../__pycache__/build.cpython-36.pyc          | Bin 0 -> 1532 bytes
 q02_decision_regressor_plot/build.py          |  27 +++++++++++++++++-
 .../tests/__pycache__/__init__.cpython-36.pyc | Bin 0 -> 186 bytes
 ...q02_decision_regressor_plot.cpython-36.pyc | Bin 0 -> 1139 bytes
 5 files changed, 26 insertions(+), 1 deletion(-)
 create mode 100644 q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_decision_regressor_plot/__pycache__/build.cpython-36.pyc
 create mode 100644 q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc
 create mode 100644 q02_decision_regressor_plot/tests/__pycache__/test_q02_decision_regressor_plot.cpython-36.pyc

diff --git a/q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc b/q02_decision_regressor_plot/__pycache__/__init__.cpython-36.pyc
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diff --git a/q02_decision_regressor_plot/build.py b/q02_decision_regressor_plot/build.py
index 020d81e..11783d6 100644
--- a/q02_decision_regressor_plot/build.py
+++ b/q02_decision_regressor_plot/build.py
@@ -1,3 +1,4 @@
+# %load q02_decision_regressor_plot/build.py
 # default imports
 from sklearn.model_selection import train_test_split
 from sklearn.tree import DecisionTreeRegressor
@@ -7,7 +8,7 @@
 import numpy as np
 plt.switch_backend('agg')
 
-data = pd.read_csv("./data/house_pricing.csv")
+data = pd.read_csv('./data/house_pricing.csv')
 X = data.iloc[:, :-1]
 y = data.iloc[:, -1]
 X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=9)
@@ -15,3 +16,27 @@
 depth_list = [2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80]
 
 # Write your solution here :
+def decision_regressor_plot(X_train,X_test,y_train,y_test,depths):
+    train_results=[]
+    test_results=[]
+    depth_list = [2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80]
+    for depth_list in depth_list:    
+        model=DecisionTreeRegressor(random_state=9,max_depth=depth_list)
+        model.fit(X_train,y_train)
+        train_pred=model.predict(X_train)
+        mse_train=mean_squared_error(y_train,train_pred)
+        train_results.append(mse_train)
+
+        test_pred=model.predict(X_test)
+        mse_test=mean_squared_error(y_test,test_pred)
+        test_results.append(mse_test)
+       
+    plt.plot([2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80],train_results,'b-',label='Train set')
+    plt.plot([2, 8, 10, 15, 20, 25, 30, 35, 45, 50, 80],test_results,'g-',label='Test set')
+    plt.legend(loc='best')
+    plt.xlabel('depths')
+    plt.ylabel('mean squared error')
+    plt.show()
+    
+
+
diff --git a/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc b/q02_decision_regressor_plot/tests/__pycache__/__init__.cpython-36.pyc
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literal 0
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