From 159fa1665b2d819f6a049179b871b398fc04d84f Mon Sep 17 00:00:00 2001 From: EdenWuyifan Date: Mon, 17 Jul 2023 17:43:19 -0400 Subject: [PATCH] update .ipynb scores --- examples/tabular_classification.ipynb | 1257 ++++++++++++++++++++---- examples/tabular_regression.ipynb | 1268 +++++++++++++++---------- 2 files changed, 1878 insertions(+), 647 deletions(-) diff --git a/examples/tabular_classification.ipynb b/examples/tabular_classification.ipynb index 8c17799a..73c5c97a 100644 --- a/examples/tabular_classification.ipynb +++ b/examples/tabular_classification.ipynb @@ -560,77 +560,339 @@ "name": "stdout", "output_type": "stream", "text": [ - "INFO:alpha_automl.automl_api:Found pipeline, time=0:00:00, scoring...\n", - "INFO:alpha_automl.automl_api:Scored pipeline, score=0.125\n", - "INFO:alpha_automl.automl_api:Found pipeline, time=0:00:00, scoring...\n", + "INFO:alpha_automl.automl_api:Found pipeline, time=0:00:01, scoring...\n", "INFO:alpha_automl.automl_api:Scored pipeline, 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rankingpipelineaccuracy_scorerankingpipelineaccuracy_score
1MaxAbsScaler, SVC0.7641StandardScaler, ExtraTreesClassifier0.792
2StandardScaler, LogisticRegression0.792
3MaxAbsScaler, ExtraTreesClassifier0.778
4MaxAbsScaler, SVC0.764
5SVC0.764
6StandardScaler, RandomForestClassifier0.764
7ExtraTreesClassifier0.750
8RobustScaler, ExtraTreesClassifier0.750
9StandardScaler, SVC0.750
10MaxAbsScaler, LinearSVC0.736
11MaxAbsScaler, RandomForestClassifier0.736
12LinearSVC0.736
13StandardScaler, LinearSVC0.736
14RandomForestClassifier0.736
15RobustScaler, KNeighborsClassifier0.722
16MaxAbsScaler, BaggingClassifier0.694
17StandardScaler, BaggingClassifier0.694
18MaxAbsScaler, KNeighborsClassifier0.681
19MaxAbsScaler, LogisticRegression0.681
20StandardScaler, KNeighborsClassifier0.681
21KNeighborsClassifier0.667
22LogisticRegression0.639
23BaggingClassifier0.639
24StandardScaler, SGDClassifier0.639
25MaxAbsScaler, LGBMClassifier0.611
26MaxAbsScaler, XGBClassifier0.611
27XGBClassifier0.611
28LGBMClassifier0.611
29StandardScaler, LGBMClassifier0.611
30StandardScaler, XGBClassifier0.611
31MaxAbsScaler, DecisionTreeClassifier0.597
32StandardScaler, PassiveAggressiveClassifier0.597
33GradientBoostingClassifier0.583
34StandardScaler, GradientBoostingClassifier0.583
35DecisionTreeClassifier0.569
36MaxAbsScaler, LinearDiscriminantAnalysis0.556
2MaxAbsScaler, RandomForestClassifier0.75037MaxAbsScaler, GradientBoostingClassifier0.556
3RobustScaler, SGDClassifier0.73638LinearDiscriminantAnalysis0.556
4MaxAbsScaler, DecisionTreeClassifier0.59739StandardScaler, LinearDiscriminantAnalysis0.556
5MaxAbsScaler, GradientBoostingClassifier0.58340RobustScaler, LinearDiscriminantAnalysis0.556
6MaxAbsScaler, LinearDiscriminantAnalysis0.55641MaxAbsScaler, GaussianNB0.542
7MaxAbsScaler, MultinomialNB0.54242GaussianNB0.542
8MaxAbsScaler, GaussianNB0.54243StandardScaler, GaussianNB0.542
9MultinomialNB0.54244RobustScaler, GaussianNB0.542
10MaxAbsScaler, SGDClassifier0.48645MaxAbsScaler, MultinomialNB0.542
11SGDClassifier0.34746MaxAbsScaler, PassiveAggressiveClassifier0.542
12MaxAbsScaler, GenericUnivariateSelect, DecisionTreeClassifier0.25047MultinomialNB0.542
13MaxAbsScaler, GenericUnivariateSelect, ExtraTreesClassifier0.25048SGDClassifier0.542
14MaxAbsScaler, SelectKBest, SGDClassifier0.23649StandardScaler, BernoulliNB0.528
15MaxAbsScaler, GenericUnivariateSelect, GaussianNB0.19450StandardScaler, DecisionTreeClassifier0.528
16MaxAbsScaler, GenericUnivariateSelect, RandomForestClassifier0.19451MaxAbsScaler, SelectKBest, RandomForestClassifier0.514
17MaxAbsScaler, GenericUnivariateSelect, GradientBoostingClassifier0.19452StandardScaler, SelectKBest, ExtraTreesClassifier0.500
18MaxAbsScaler, GenericUnivariateSelect, QuadraticDiscriminantAnalysis0.19453RobustScaler, SelectKBest, ExtraTreesClassifier0.500
19MaxAbsScaler, SelectPercentile, SGDClassifier0.18154MaxAbsScaler, SelectPercentile, XGBClassifier0.486
20MaxAbsScaler, GenericUnivariateSelect, SVC0.18155MaxAbsScaler, SelectKBest, XGBClassifier0.472
21MaxAbsScaler, GenericUnivariateSelect, KNeighborsClassifier0.18156PassiveAggressiveClassifier0.472
22MaxAbsScaler, GenericUnivariateSelect, BaggingClassifier0.18157MaxAbsScaler, SelectKBest, ExtraTreesClassifier0.458
23SelectPercentile, SGDClassifier0.15358MaxAbsScaler, SelectPercentile, DecisionTreeClassifier0.458
24RobustScaler, GenericUnivariateSelect, SGDClassifier0.15359MaxAbsScaler, SelectPercentile, ExtraTreesClassifier0.444
25MaxAbsScaler, GenericUnivariateSelect, LinearSVC0.13960SelectPercentile, ExtraTreesClassifier0.444
26MaxAbsScaler, GenericUnivariateSelect, LinearDiscriminantAnalysis0.12561SelectKBest, ExtraTreesClassifier0.444
27MaxAbsScaler, GenericUnivariateSelect, SGDClassifier0.12562MaxAbsScaler, SelectPercentile, RandomForestClassifier0.444
28SelectKBest, SGDClassifier0.12563MaxAbsScaler, SelectPercentile, LGBMClassifier0.444
29GenericUnivariateSelect, SGDClassifier0.11164MaxAbsScaler, SelectKBest, DecisionTreeClassifier0.444
30MaxAbsScaler, GenericUnivariateSelect, LogisticRegression0.09765MaxAbsScaler, SelectKBest, BaggingClassifier0.444
31MaxAbsScaler, GenericUnivariateSelect, PassiveAggressiveClassifier0.09766RobustScaler, SelectPercentile, ExtraTreesClassifier0.431
32MaxAbsScaler, SelectKBest, MultinomialNB0.08367MaxAbsScaler, SGDClassifier0.431
33MaxAbsScaler, SelectPercentile, MultinomialNB0.06968MaxAbsScaler, SelectPercentile, QuadraticDiscriminantAnalysis0.431
34MaxAbsScaler, GenericUnivariateSelect, MultinomialNB0.02869MaxAbsScaler, SelectPercentile, BaggingClassifier0.431
35MaxAbsScaler, GenericUnivariateSelect, BernoulliNB0.02870MaxAbsScaler, SelectKBest, LGBMClassifier0.431
71MaxAbsScaler, SelectPercentile, KNeighborsClassifier0.417
72StandardScaler, SelectPercentile, ExtraTreesClassifier0.417
73MaxAbsScaler, SelectKBest, KNeighborsClassifier0.417
74MaxAbsScaler, SelectKBest, GradientBoostingClassifier0.417
75StandardScaler, QuadraticDiscriminantAnalysis0.417
76MaxAbsScaler, QuadraticDiscriminantAnalysis0.403
77SelectPercentile, KNeighborsClassifier0.403
78MaxAbsScaler, SelectPercentile, GradientBoostingClassifier0.375
79MaxAbsScaler, SelectKBest, QuadraticDiscriminantAnalysis0.375
80QuadraticDiscriminantAnalysis0.361
81MaxAbsScaler, SelectKBest, GaussianNB0.347
82SelectKBest, GaussianNB0.347
83StandardScaler, SelectKBest, GaussianNB0.347
84RobustScaler, SelectKBest, GaussianNB0.347
85MaxAbsScaler, SelectPercentile, SVC0.333
86MaxAbsScaler, SelectPercentile, LinearDiscriminantAnalysis0.319
87MaxAbsScaler, SelectKBest, LinearDiscriminantAnalysis0.319
88MaxAbsScaler, SelectKBest, LinearSVC0.306
89MaxAbsScaler, SelectKBest, SVC0.306
90MaxAbsScaler, SelectPercentile, LinearSVC0.292
91MaxAbsScaler, SelectKBest, LogisticRegression0.278
92MaxAbsScaler, GenericUnivariateSelect, ExtraTreesClassifier0.264
93RobustScaler, GenericUnivariateSelect, ExtraTreesClassifier0.264
94MaxAbsScaler, GenericUnivariateSelect, DecisionTreeClassifier0.250
95MaxAbsScaler, SelectPercentile, GaussianNB0.250
96GenericUnivariateSelect, ExtraTreesClassifier0.250
97StandardScaler, GenericUnivariateSelect, ExtraTreesClassifier0.250
98SelectPercentile, GaussianNB0.250
99StandardScaler, SelectPercentile, GaussianNB0.250
100RobustScaler, SelectPercentile, GaussianNB0.250
101MaxAbsScaler, SelectPercentile, LogisticRegression0.250
102GenericUnivariateSelect, DecisionTreeClassifier0.250
103StandardScaler, GenericUnivariateSelect, DecisionTreeClassifier0.250
104RobustScaler, GenericUnivariateSelect, DecisionTreeClassifier0.250
105GenericUnivariateSelect, BaggingClassifier0.236
106MaxAbsScaler, SelectPercentile, SGDClassifier0.222
107GenericUnivariateSelect, RandomForestClassifier0.222
108MaxAbsScaler, GenericUnivariateSelect, LGBMClassifier0.208
109MaxAbsScaler, GenericUnivariateSelect, BaggingClassifier0.208
110GenericUnivariateSelect, LGBMClassifier0.208
111MaxAbsScaler, GenericUnivariateSelect, GaussianNB0.194
112MaxAbsScaler, GenericUnivariateSelect, GradientBoostingClassifier0.194
113MaxAbsScaler, GenericUnivariateSelect, QuadraticDiscriminantAnalysis0.194
114MaxAbsScaler, GenericUnivariateSelect, RandomForestClassifier0.194
115MaxAbsScaler, GenericUnivariateSelect, XGBClassifier0.194
116GenericUnivariateSelect, GaussianNB0.194
117StandardScaler, GenericUnivariateSelect, GaussianNB0.194
118RobustScaler, GenericUnivariateSelect, GaussianNB0.194
119GenericUnivariateSelect, GradientBoostingClassifier0.194
120StandardScaler, GenericUnivariateSelect, GradientBoostingClassifier0.194
121RobustScaler, GenericUnivariateSelect, GradientBoostingClassifier0.194
122GenericUnivariateSelect, QuadraticDiscriminantAnalysis0.194
123GenericUnivariateSelect, XGBClassifier0.194
124StandardScaler, GenericUnivariateSelect, QuadraticDiscriminantAnalysis0.194
125RobustScaler, GenericUnivariateSelect, RandomForestClassifier0.194
126MaxAbsScaler, GenericUnivariateSelect, KNeighborsClassifier0.181
127MaxAbsScaler, GenericUnivariateSelect, SGDClassifier0.181
128MaxAbsScaler, GenericUnivariateSelect, SVC0.181
129GenericUnivariateSelect, KNeighborsClassifier0.181
130StandardScaler, GenericUnivariateSelect, KNeighborsClassifier0.181
131RobustScaler, GenericUnivariateSelect, KNeighborsClassifier0.181
132GenericUnivariateSelect, SVC0.181
133StandardScaler, GenericUnivariateSelect, SVC0.181
134StandardScaler, GenericUnivariateSelect, RandomForestClassifier0.181
135StandardScaler, GenericUnivariateSelect, LogisticRegression0.153
136RobustScaler, GenericUnivariateSelect, LogisticRegression0.153
137MaxAbsScaler, GenericUnivariateSelect, LinearSVC0.139
138GenericUnivariateSelect, LinearSVC0.139
139MaxAbsScaler, SelectKBest, SGDClassifier0.139
140StandardScaler, GenericUnivariateSelect, LinearSVC0.139
141RobustScaler, GenericUnivariateSelect, LinearSVC0.139
142MaxAbsScaler, GenericUnivariateSelect, LinearDiscriminantAnalysis0.125
143MaxAbsScaler, GenericUnivariateSelect, PassiveAggressiveClassifier0.125
144GenericUnivariateSelect, LinearDiscriminantAnalysis0.125
145StandardScaler, GenericUnivariateSelect, LinearDiscriminantAnalysis0.125
146RobustScaler, GenericUnivariateSelect, LinearDiscriminantAnalysis0.125
147MaxAbsScaler, SelectPercentile, PassiveAggressiveClassifier0.125
148GenericUnivariateSelect, SGDClassifier0.125
149MaxAbsScaler, GenericUnivariateSelect, LogisticRegression0.097
150MaxAbsScaler, SelectKBest, PassiveAggressiveClassifier0.097
151GenericUnivariateSelect, LogisticRegression0.097
152StandardScaler, GenericUnivariateSelect, SGDClassifier0.097
153RobustScaler, GenericUnivariateSelect, SGDClassifier0.097
154MaxAbsScaler, SelectKBest, MultinomialNB0.083
155GenericUnivariateSelect, PassiveAggressiveClassifier0.083
156MaxAbsScaler, SelectPercentile, MultinomialNB0.069
157StandardScaler, GenericUnivariateSelect, BernoulliNB0.069
158RobustScaler, GenericUnivariateSelect, BernoulliNB0.069
159MaxAbsScaler, GenericUnivariateSelect, BernoulliNB0.028
160MaxAbsScaler, GenericUnivariateSelect, MultinomialNB0.028
161MaxAbsScaler, BernoulliNB0.028
162MaxAbsScaler, SelectPercentile, BernoulliNB0.028
163BernoulliNB0.028
164GenericUnivariateSelect, BernoulliNB0.028
165MaxAbsScaler, SelectKBest, BernoulliNB0.028
166GenericUnivariateSelect, MultinomialNB0.028
\n" ], "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -877,9 +1794,7 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [], "source": [ "automl.plot_comparison_pipelines()" @@ -908,7 +1823,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -1268,7 +2183,7 @@ "[72 rows x 90 columns]" ] }, - "execution_count": 8, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -1287,7 +2202,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -1381,7 +2296,7 @@ "[72 rows x 1 columns]" ] }, - "execution_count": 9, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -1400,7 +2315,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": { "scrolled": true }, @@ -1408,14 +2323,14 @@ { "data": { "text/plain": [ - "array([ 2, 9, 12, 3, 7, 8, 14, 7, 9, 4, 1, 7, 1, 8, 5, 7, 12,\n", - " 9, 11, 11, 3, 13, 11, 7, 15, 5, 13, 3, 15, 12, 10, 7, 15, 11,\n", - " 9, 8, 12, 9, 11, 4, 2, 7, 3, 6, 8, 13, 6, 12, 9, 14, 9,\n", - " 2, 2, 3, 12, 9, 5, 13, 13, 7, 13, 5, 15, 6, 15, 2, 4, 5,\n", + "array([ 2, 9, 12, 3, 14, 11, 14, 14, 9, 4, 1, 7, 1, 8, 5, 12, 12,\n", + " 5, 11, 11, 3, 11, 11, 7, 15, 9, 13, 3, 15, 12, 10, 12, 15, 8,\n", + " 9, 8, 12, 7, 11, 4, 2, 10, 3, 6, 15, 13, 6, 10, 9, 14, 9,\n", + " 2, 1, 3, 10, 9, 5, 8, 15, 7, 13, 5, 15, 6, 15, 2, 4, 5,\n", " 7, 6, 14, 2])" ] }, - "execution_count": 10, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -1434,23 +2349,23 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "INFO:alpha_automl.automl_api:Metric: accuracy_score, Score: 0.7222222222222222\n" + "INFO:alpha_automl.automl_api:Metric: accuracy_score, Score: 0.8333333333333334\n" ] }, { "data": { "text/plain": [ - "{'metric': 'accuracy_score', 'score': 0.7222222222222222}" + "{'metric': 'accuracy_score', 'score': 0.8333333333333334}" ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -1476,9 +2391,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.16" + "version": "3.10.11" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/examples/tabular_regression.ipynb b/examples/tabular_regression.ipynb index 1c1871af..063a9ea4 100644 --- a/examples/tabular_regression.ipynb +++ b/examples/tabular_regression.ipynb @@ -366,209 +366,295 @@ "name": "stdout", "output_type": "stream", "text": [ - "INFO:alpha_automl.automl_api:Found pipeline, time=0:00:00, scoring...\n", - "INFO:alpha_automl.automl_api:Scored pipeline, score=2.7033732051184005\n", - "INFO:alpha_automl.automl_api:Found pipeline, time=0:00:00, scoring...\n", 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rankingpipelinemean_absolute_errorrankingpipelinemean_absolute_error
1SimpleImputer, RobustScaler, ExtraTreesRegressor1.8911SimpleImputer, RobustScaler, RandomForestRegressor1.850
2SimpleImputer, StandardScaler, RandomForestRegressor1.866
3SimpleImputer, MaxAbsScaler, ExtraTreesRegressor1.868
4SimpleImputer, MaxAbsScaler, RandomForestRegressor1.882
5SimpleImputer, RobustScaler, ExtraTreesRegressor1.884
6SimpleImputer, StandardScaler, ExtraTreesRegressor1.886
7SimpleImputer, RandomForestRegressor1.898
8SimpleImputer, ExtraTreesRegressor1.901
9SimpleImputer, RobustScaler, GradientBoostingRegressor2.048
10SimpleImputer, StandardScaler, GradientBoostingRegressor2.055
11SimpleImputer, MaxAbsScaler, GradientBoostingRegressor2.060
12SimpleImputer, StandardScaler, KNeighborsRegressor2.128
13SimpleImputer, MaxAbsScaler, LGBMRegressor2.198
14SimpleImputer, MaxAbsScaler, XGBRegressor2.338
15SimpleImputer, MaxAbsScaler, DecisionTreeRegressor2.459
16SimpleImputer, MaxAbsScaler, KNeighborsRegressor2.555
17SimpleImputer, MaxAbsScaler, RidgeCV2.636
18SimpleImputer, StandardScaler, RANSACRegressor2.640
19SimpleImputer, MaxAbsScaler, LassoCV2.651
20SimpleImputer, MaxAbsScaler, HuberRegressor2.652
21SimpleImputer, MaxAbsScaler, ARDRegression2.654
2SimpleImputer, MaxAbsScaler, RandomForestRegressor1.92622SimpleImputer, StandardScaler, ARDRegression2.654
3SimpleImputer, MaxAbsScaler, ExtraTreesRegressor1.93023SimpleImputer, MaxAbsScaler, PassiveAggressiveRegressor2.668
4SimpleImputer, RobustScaler, RandomForestRegressor1.98824SimpleImputer, StandardScaler, LassoCV2.670
5SimpleImputer, MaxAbsScaler, GradientBoostingRegressor2.06425SimpleImputer, RobustScaler, LassoCV2.673
6SimpleImputer, RobustScaler, KNeighborsRegressor2.31326SimpleImputer, MaxAbsScaler, BayesianRidge2.682
7SimpleImputer, RobustScaler, SVR2.49127SimpleImputer, MaxAbsScaler, LinearRegression2.704
8SimpleImputer, MaxAbsScaler, KNeighborsRegressor2.55528SimpleImputer, StandardScaler, SelectPercentile, XGBRegressor2.735
9SimpleImputer, MaxAbsScaler, DecisionTreeRegressor2.59529SimpleImputer, RobustScaler, SelectPercentile, XGBRegressor2.735
10SimpleImputer, MaxAbsScaler, RidgeCV2.63630SimpleImputer, StandardScaler, GenericUnivariateSelect, XGBRegressor2.735
11SimpleImputer, MaxAbsScaler, LassoCV2.65131SimpleImputer, RobustScaler, GenericUnivariateSelect, XGBRegressor2.735
12SimpleImputer, MaxAbsScaler, HuberRegressor2.65232SimpleImputer, MaxAbsScaler, TheilSenRegressor2.736
13SimpleImputer, RobustScaler, HuberRegressor2.65233SimpleImputer, MaxAbsScaler, Lars2.739
14SimpleImputer, MaxAbsScaler, ARDRegression2.65434SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, LGBMRegressor2.752
15SimpleImputer, RobustScaler, ARDRegression2.65435SimpleImputer, MaxAbsScaler, SelectPercentile, LGBMRegressor2.752
16SimpleImputer, StandardScaler, ARDRegression2.65436SimpleImputer, StandardScaler, SelectPercentile, LGBMRegressor2.752
17SimpleImputer, MaxAbsScaler, BayesianRidge2.68237SimpleImputer, StandardScaler, SelectPercentile, RandomForestRegressor2.773
18SimpleImputer, RidgeCV2.69738SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, DecisionTreeRegressor2.786
19SimpleImputer, RobustScaler, RidgeCV2.70339SimpleImputer, MaxAbsScaler, SelectPercentile, DecisionTreeRegressor2.786
20SimpleImputer, RobustScaler, Ridge2.70340SimpleImputer, StandardScaler, SelectPercentile, DecisionTreeRegressor2.786
21SimpleImputer, StandardScaler, Ridge2.70341SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, GradientBoostingRegressor2.799
22SimpleImputer, StandardScaler, RidgeCV2.70342SimpleImputer, MaxAbsScaler, SelectPercentile, GradientBoostingRegressor2.799
23SimpleImputer, Ridge2.70343SimpleImputer, StandardScaler, GenericUnivariateSelect, GradientBoostingRegressor2.799
24SimpleImputer, LinearRegression2.70444SimpleImputer, StandardScaler, SelectPercentile, GradientBoostingRegressor2.799
25SimpleImputer, MaxAbsScaler, LinearRegression2.70445SimpleImputer, RobustScaler, SelectPercentile, GradientBoostingRegressor2.799
26SimpleImputer, RobustScaler, LinearRegression2.70446SimpleImputer, RobustScaler, GenericUnivariateSelect, GradientBoostingRegressor2.799
27SimpleImputer, StandardScaler, LinearRegression2.70447SimpleImputer, GenericUnivariateSelect, GradientBoostingRegressor2.799
28SimpleImputer, MaxAbsScaler, TheilSenRegressor2.71448SimpleImputer, SelectPercentile, GradientBoostingRegressor2.799
29SimpleImputer, MaxAbsScaler, Lars2.73949SimpleImputer, RobustScaler, SelectPercentile, RandomForestRegressor2.805
30SimpleImputer, MaxAbsScaler, RANSACRegressor2.76850SimpleImputer, MaxAbsScaler, SVR2.807
31SimpleImputer, MaxAbsScaler, SelectPercentile, RandomForestRegressor2.78451SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, XGBRegressor2.813
32SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, DecisionTreeRegressor2.78652SimpleImputer, MaxAbsScaler, SelectPercentile, XGBRegressor2.813
33SimpleImputer, RobustScaler, GenericUnivariateSelect, DecisionTreeRegressor2.78653SimpleImputer, SelectPercentile, RandomForestRegressor2.815
34SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, RandomForestRegressor2.79354SimpleImputer, StandardScaler, SelectPercentile, ExtraTreesRegressor2.823
35SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, GradientBoostingRegressor2.79955SimpleImputer, MaxAbsScaler, SelectPercentile, RandomForestRegressor2.826
36SimpleImputer, RobustScaler, GenericUnivariateSelect, GradientBoostingRegressor2.79956SimpleImputer, MaxAbsScaler, SGDRegressor2.833
37SimpleImputer, MaxAbsScaler, SVR2.80757SimpleImputer, GenericUnivariateSelect, RandomForestRegressor2.835
38SimpleImputer, RobustScaler, GenericUnivariateSelect, KNeighborsRegressor2.81658SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, RandomForestRegressor2.837
39SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, KNeighborsRegressor2.82459SimpleImputer, RobustScaler, GenericUnivariateSelect, RandomForestRegressor2.839
40SimpleImputer, RobustScaler, GenericUnivariateSelect, ExtraTreesRegressor2.83160SimpleImputer, SelectPercentile, ExtraTreesRegressor2.845
41SimpleImputer, RobustScaler, GenericUnivariateSelect, RandomForestRegressor2.83761SimpleImputer, MaxAbsScaler, SelectPercentile, ExtraTreesRegressor2.846
42SimpleImputer, MaxAbsScaler, SGDRegressor2.83862SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, ExtraTreesRegressor2.848
43SimpleImputer, RobustScaler, Lars2.83963SimpleImputer, StandardScaler, GenericUnivariateSelect, RandomForestRegressor2.848
44SimpleImputer, MaxAbsScaler, SelectPercentile, ExtraTreesRegressor2.84364SimpleImputer, RobustScaler, GenericUnivariateSelect, ExtraTreesRegressor2.855
45SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, ExtraTreesRegressor2.84465SimpleImputer, RobustScaler, SelectPercentile, ExtraTreesRegressor2.858
46SimpleImputer, MaxAbsScaler, Ridge2.86166SimpleImputer, GenericUnivariateSelect, ExtraTreesRegressor2.859
47SimpleImputer, StandardScaler, Lars2.88667SimpleImputer, MaxAbsScaler, Ridge2.861
48SimpleImputer, RobustScaler, Lasso2.90868SimpleImputer, StandardScaler, GenericUnivariateSelect, ExtraTreesRegressor2.864
49SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, GaussianProcessRegressor2.94069SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, GaussianProcessRegressor2.940
50SimpleImputer, RobustScaler, GenericUnivariateSelect, GaussianProcessRegressor2.94670SimpleImputer, MaxAbsScaler, SelectPercentile, GaussianProcessRegressor2.940
51SimpleImputer, RobustScaler, GenericUnivariateSelect, SVR2.98171SimpleImputer, StandardScaler, GenericUnivariateSelect, KNeighborsRegressor2.957
52SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, SVR2.98172SimpleImputer, StandardScaler, SelectPercentile, KNeighborsRegressor2.957
53SimpleImputer, MaxAbsScaler, PassiveAggressiveRegressor3.00273SimpleImputer, RobustScaler, GenericUnivariateSelect, KNeighborsRegressor2.971
54SimpleImputer, ARDRegression3.08774SimpleImputer, RobustScaler, SelectPercentile, KNeighborsRegressor2.971
55SimpleImputer, RobustScaler, ElasticNet3.16175SimpleImputer, GenericUnivariateSelect, KNeighborsRegressor2.971
56SimpleImputer, SVR3.23976SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, KNeighborsRegressor2.978
57SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, LinearRegression3.31777SimpleImputer, MaxAbsScaler, SelectPercentile, KNeighborsRegressor2.978
58SimpleImputer, MaxAbsScaler, SelectPercentile, LinearRegression3.31778SimpleImputer, StandardScaler, GenericUnivariateSelect, SVR2.981
59SimpleImputer, RobustScaler, GenericUnivariateSelect, LinearRegression3.31779SimpleImputer, StandardScaler, SelectPercentile, SVR2.981
60SimpleImputer, RobustScaler, SelectPercentile, LinearRegression3.31780SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, SVR2.981
61SimpleImputer, RobustScaler, GenericUnivariateSelect, Lars3.31781SimpleImputer, MaxAbsScaler, SelectPercentile, SVR2.981
62SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, Lars3.31782SimpleImputer, RobustScaler, GenericUnivariateSelect, RANSACRegressor3.311
63SimpleImputer, SelectPercentile, Ridge3.31783SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, LinearRegression3.317
64SimpleImputer, RobustScaler, GenericUnivariateSelect, RidgeCV3.31884SimpleImputer, MaxAbsScaler, SelectPercentile, LinearRegression3.317
65SimpleImputer, RobustScaler, GenericUnivariateSelect, BayesianRidge3.31885SimpleImputer, StandardScaler, SelectPercentile, LinearRegression3.317
66SimpleImputer, RobustScaler, GenericUnivariateSelect, ARDRegression3.31886SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, Lars3.317
67SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, ARDRegression3.31887SimpleImputer, MaxAbsScaler, SelectPercentile, Lars3.317
68SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, BayesianRidge3.31888SimpleImputer, GenericUnivariateSelect, ARDRegression3.318
69SimpleImputer, MaxAbsScaler, SelectPercentile, ARDRegression3.31889SimpleImputer, SelectPercentile, ARDRegression3.318
70SimpleImputer, StandardScaler, GenericUnivariateSelect, RidgeCV3.31990SimpleImputer, StandardScaler, GenericUnivariateSelect, ARDRegression3.318
71SimpleImputer, RobustScaler, GenericUnivariateSelect, SGDRegressor3.31991SimpleImputer, StandardScaler, SelectPercentile, ARDRegression3.318
72SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, RidgeCV3.32092SimpleImputer, RobustScaler, GenericUnivariateSelect, ARDRegression3.318
73SimpleImputer, MaxAbsScaler, SelectPercentile, RidgeCV3.32093SimpleImputer, RobustScaler, SelectPercentile, ARDRegression3.318
74SimpleImputer, RobustScaler, GenericUnivariateSelect, Ridge3.32094SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, ARDRegression3.318
75SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, LassoCV3.32295SimpleImputer, MaxAbsScaler, SelectPercentile, ARDRegression3.318
76SimpleImputer, RobustScaler, GenericUnivariateSelect, LassoCV3.32296SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, BayesianRidge3.318
77SimpleImputer, RobustScaler, GenericUnivariateSelect, HuberRegressor3.32397SimpleImputer, MaxAbsScaler, SelectPercentile, BayesianRidge3.318
78SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, HuberRegressor3.32398SimpleImputer, StandardScaler, SelectPercentile, SGDRegressor3.318
79SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, SGDRegressor3.34199SimpleImputer, StandardScaler, SelectPercentile, RidgeCV3.319
80SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, TheilSenRegressor3.347100SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, RidgeCV3.320
81SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, Ridge3.361101SimpleImputer, MaxAbsScaler, SelectPercentile, RidgeCV3.320
82SimpleImputer, MaxAbsScaler, SelectPercentile, Ridge3.361102SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, LassoCV3.322
83SimpleImputer, RobustScaler, GenericUnivariateSelect, RANSACRegressor3.375103SimpleImputer, MaxAbsScaler, SelectPercentile, LassoCV3.322
84SimpleImputer, RobustScaler, GenericUnivariateSelect, TheilSenRegressor3.403104SimpleImputer, StandardScaler, SelectPercentile, LassoCV3.322
85SimpleImputer, MaxAbsScaler, LinearSVR3.410105SimpleImputer, StandardScaler, GenericUnivariateSelect, LassoCV3.322
86SimpleImputer, RobustScaler, GenericUnivariateSelect, LinearSVR3.511106SimpleImputer, RobustScaler, GenericUnivariateSelect, LassoCV3.322
87SimpleImputer, RobustScaler, GenericUnivariateSelect, Lasso3.569107SimpleImputer, RobustScaler, SelectPercentile, LassoCV3.322
88SimpleImputer, RobustScaler, GenericUnivariateSelect, PassiveAggressiveRegressor3.613108SimpleImputer, GenericUnivariateSelect, LassoCV3.322
89SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, RANSACRegressor3.804109SimpleImputer, SelectPercentile, LassoCV3.322
90SimpleImputer, RobustScaler, PassiveAggressiveRegressor3.927110SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, HuberRegressor3.323
91SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, LinearSVR4.323111SimpleImputer, MaxAbsScaler, SelectPercentile, HuberRegressor3.323
92SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, PassiveAggressiveRegressor4.721112SimpleImputer, MaxAbsScaler, SelectPercentile, RANSACRegressor3.333
93SimpleImputer, RobustScaler, GenericUnivariateSelect, ElasticNet4.847113SimpleImputer, MaxAbsScaler, SelectPercentile, TheilSenRegressor3.339
94SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, Lasso5.388114SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, SGDRegressor3.340
95SimpleImputer, MaxAbsScaler, Lasso5.388115SimpleImputer, MaxAbsScaler, SelectPercentile, SGDRegressor3.343
96SimpleImputer, MaxAbsScaler, ElasticNet6.037116SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, TheilSenRegressor3.347
97SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, ElasticNet6.480117SimpleImputer, GenericUnivariateSelect, RANSACRegressor3.356
98SimpleImputer, MaxAbsScaler, GaussianProcessRegressor9.670118SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, Ridge3.361
119SimpleImputer, MaxAbsScaler, SelectPercentile, Ridge3.361
120SimpleImputer, MaxAbsScaler, SelectPercentile, PassiveAggressiveRegressor3.375
121SimpleImputer, MaxAbsScaler, RANSACRegressor3.391
122SimpleImputer, RobustScaler, GenericUnivariateSelect, TheilSenRegressor3.404
123SimpleImputer, MaxAbsScaler, LinearSVR3.413
124SimpleImputer, StandardScaler, SelectPercentile, Lasso3.442
125SimpleImputer, StandardScaler, GenericUnivariateSelect, Lasso3.442
126SimpleImputer, StandardScaler, SelectPercentile, LinearSVR3.450
127SimpleImputer, StandardScaler, SelectPercentile, PassiveAggressiveRegressor3.457
128SimpleImputer, StandardScaler, SelectPercentile, TheilSenRegressor3.465
129SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, PassiveAggressiveRegressor3.513
130SimpleImputer, RobustScaler, SelectPercentile, Lasso3.569
131SimpleImputer, RobustScaler, GenericUnivariateSelect, Lasso3.569
132SimpleImputer, RobustScaler, SelectPercentile, RANSACRegressor3.594
133SimpleImputer, StandardScaler, GenericUnivariateSelect, RANSACRegressor3.602
134SimpleImputer, StandardScaler, SelectPercentile, RANSACRegressor3.609
135SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, RANSACRegressor3.782
136SimpleImputer, MaxAbsScaler, SelectPercentile, LinearSVR4.318
137SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, LinearSVR4.318
138SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, Lasso5.388
139SimpleImputer, MaxAbsScaler, SelectPercentile, Lasso5.388
140SimpleImputer, MaxAbsScaler, Lasso5.388
141SimpleImputer, MaxAbsScaler, ElasticNet6.037
142SimpleImputer, MaxAbsScaler, GenericUnivariateSelect, ElasticNet6.480
143SimpleImputer, MaxAbsScaler, SelectPercentile, ElasticNet6.480
144SimpleImputer, MaxAbsScaler, GaussianProcessRegressor9.670
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