7807202
3886
Benjamin Strang
12
Supervised Classification
7122
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1)
5838497
memory
null
7122
axis
0
7123
copy
true
7123
missing_values
"NaN"
7123
strategy
"mean"
7123
verbose
0
7123
class_weight
null
7124
criterion
"gini"
7124
max_depth
null
7124
max_features
null
7124
max_leaf_nodes
null
7124
min_impurity_decrease
0.0
7124
min_impurity_split
null
7124
min_samples_leaf
1
7124
min_samples_split
2
7124
min_weight_fraction_leaf
0.0
7124
presort
false
7124
random_state
32626
7124
splitter
"best"
7124
openml-python
Sklearn_0.19.0.
12
mfeat-factors
https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff
-1
16538389
description
https://api.openml.org/data/download/16538389/description.xml
-1
16538390
predictions
https://api.openml.org/data/download/16538390/predictions.arff
area_under_roc_curve
0.9358333333333334 [0.977222,0.922778,0.950833,0.885833,0.954167,0.903889,0.946389,0.946389,0.9375,0.933333]
average_cost
0
f_measure
0.8845955157011637 [0.955224,0.848039,0.899263,0.793017,0.926582,0.833333,0.916031,0.898263,0.896203,0.88]
kappa
0.8716666666666666
kb_relative_information_score
1758.4300196804272
mean_absolute_error
0.023100000000000058
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8849587249527517 [0.950495,0.831731,0.884058,0.791045,0.938462,0.841837,0.932642,0.891626,0.907692,0.88]
predictive_accuracy
0.8845000000000001
prior_entropy
3.321928094887362
recall
0.8845 [0.96,0.865,0.915,0.795,0.915,0.825,0.9,0.905,0.885,0.88]
relative_absolute_error
0.1283333333333297
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15198684153570682
root_relative_squared_error
0.5066228051190149
total_cost
0
area_under_roc_curve
0.9194444444444444 [0.972222,0.919444,0.938889,0.791667,0.997222,0.911111,0.944444,0.888889,0.863889,0.966667]
area_under_roc_curve
0.925 [1,0.905556,0.936111,0.786111,0.919444,0.872222,0.969444,0.969444,0.994444,0.897222]
area_under_roc_curve
0.9611111111111111 [1,0.988889,0.972222,0.888889,0.975,0.897222,1,0.969444,0.95,0.969444]
area_under_roc_curve
0.9416666666666668 [0.969444,0.944444,0.963889,0.936111,0.925,0.866667,0.975,0.947222,0.972222,0.916667]
area_under_roc_curve
0.9194444444444444 [0.994444,0.905556,0.894444,0.886111,0.894444,0.947222,0.916667,0.866667,0.944444,0.944444]
area_under_roc_curve
0.9416666666666665 [1,0.941667,0.897222,0.919444,0.925,0.927778,0.947222,0.994444,0.969444,0.894444]
area_under_roc_curve
0.927777777777778 [0.947222,0.911111,0.969444,0.963889,0.925,0.908333,0.894444,0.941667,0.922222,0.894444]
area_under_roc_curve
0.9555555555555554 [0.95,0.947222,0.941667,0.908333,1,0.922222,0.997222,0.975,0.919444,0.994444]
area_under_roc_curve
0.9277777777777777 [0.969444,0.841667,0.997222,0.908333,0.994444,0.819444,0.947222,0.941667,0.919444,0.938889]
area_under_roc_curve
0.9388888888888889 [0.969444,0.922222,0.997222,0.869444,0.986111,0.966667,0.872222,0.969444,0.919444,0.916667]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.852377825426606 [0.95,0.871795,0.857143,0.685714,0.97561,0.809524,0.9,0.8,0.769231,0.904762]
f_measure
0.863461778266089 [1,0.772727,0.837209,0.648649,0.871795,0.833333,0.926829,0.926829,0.952381,0.864865]
f_measure
0.9299341705952746 [1,0.909091,0.95,0.8,0.974359,0.864865,1,0.926829,0.947368,0.926829]
f_measure
0.8953588001416165 [0.926829,0.9,0.883721,0.837209,0.918919,0.789474,0.974359,0.923077,0.95,0.85]
f_measure
0.8552357163589513 [0.952381,0.772727,0.842105,0.780488,0.842105,0.923077,0.85,0.789474,0.9,0.9]
f_measure
0.8960628538627087 [1,0.878049,0.864865,0.871795,0.918919,0.782609,0.923077,0.952381,0.926829,0.842105]
f_measure
0.8709763673372355 [0.923077,0.809524,0.926829,0.883721,0.918919,0.790698,0.842105,0.878049,0.894737,0.842105]
f_measure
0.9208073195773585 [0.947368,0.923077,0.878049,0.790698,1,0.894737,0.97561,0.974359,0.871795,0.952381]
f_measure
0.8675194983306157 [0.926829,0.756757,0.97561,0.790698,0.952381,0.742857,0.923077,0.878049,0.871795,0.857143]
f_measure
0.8883594944377999 [0.926829,0.894737,0.97561,0.810811,0.888889,0.904762,0.833333,0.926829,0.871795,0.85]
kappa
0.8388888888888889
kappa
0.85
kappa
0.9222222222222223
kappa
0.8833333333333333
kappa
0.8388888888888889
kappa
0.8833333333333333
kappa
0.8555555555555555
kappa
0.9111111111111112
kappa
0.8555555555555555
kappa
0.8777777777777778
kb_relative_information_score
169.67303277374046
kb_relative_information_score
171.7645477548618
kb_relative_information_score
185.35939513215035
kb_relative_information_score
178.03909269822577
kb_relative_information_score
169.67303277374046
kb_relative_information_score
178.03909269822577
kb_relative_information_score
172.81030524542246
kb_relative_information_score
183.26788015102903
kb_relative_information_score
172.81030524542246
kb_relative_information_score
176.99333520766507
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.014000000000000002
mean_absolute_error
0.021000000000000005
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.021000000000000005
mean_absolute_error
0.02600000000000001
mean_absolute_error
0.016000000000000004
mean_absolute_error
0.02600000000000001
mean_absolute_error
0.022000000000000006
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8541136933242196 [0.95,0.894737,0.818182,0.8,0.952381,0.772727,0.9,0.8,0.789474,0.863636]
precision
0.8688852413234901 [1,0.708333,0.782609,0.705882,0.894737,0.9375,0.904762,0.904762,0.909091,0.941176]
precision
0.9334033613445379 [1,0.833333,0.95,0.8,1,0.941176,1,0.904762,1,0.904762]
precision
0.8994159311321783 [0.904762,0.9,0.826087,0.782609,1,0.833333,1,0.947368,0.95,0.85]
precision
0.8587808536492746 [0.909091,0.708333,0.888889,0.761905,0.888889,0.947368,0.85,0.833333,0.9,0.9]
precision
0.9035473985938383 [1,0.857143,0.941176,0.894737,1,0.692308,0.947368,0.909091,0.904762,0.888889]
precision
0.8769440069211235 [0.947368,0.772727,0.904762,0.826087,1,0.73913,0.888889,0.857143,0.944444,0.888889]
precision
0.9244294860999667 [1,0.947368,0.857143,0.73913,1,0.944444,0.952381,1,0.894737,0.909091]
precision
0.8712990217930318 [0.904762,0.823529,0.952381,0.73913,0.909091,0.866667,0.947368,0.857143,0.894737,0.818182]
precision
0.8934575353267304 [0.904762,0.944444,0.952381,0.882353,0.8,0.863636,0.9375,0.904762,0.894737,0.85]
predictive_accuracy
0.855
predictive_accuracy
0.865
predictive_accuracy
0.93
predictive_accuracy
0.895
predictive_accuracy
0.855
predictive_accuracy
0.895
predictive_accuracy
0.87
predictive_accuracy
0.92
predictive_accuracy
0.87
predictive_accuracy
0.89
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.855 [0.95,0.85,0.9,0.6,1,0.85,0.9,0.8,0.75,0.95]
recall
0.865 [1,0.85,0.9,0.6,0.85,0.75,0.95,0.95,1,0.8]
recall
0.93 [1,1,0.95,0.8,0.95,0.8,1,0.95,0.9,0.95]
recall
0.895 [0.95,0.9,0.95,0.9,0.85,0.75,0.95,0.9,0.95,0.85]
recall
0.855 [1,0.85,0.8,0.8,0.8,0.9,0.85,0.75,0.9,0.9]
recall
0.895 [1,0.9,0.8,0.85,0.85,0.9,0.9,1,0.95,0.8]
recall
0.87 [0.9,0.85,0.95,0.95,0.85,0.85,0.8,0.9,0.85,0.8]
recall
0.92 [0.9,0.9,0.9,0.85,1,0.85,1,0.95,0.85,1]
recall
0.87 [0.95,0.7,1,0.85,1,0.65,0.9,0.9,0.85,0.9]
recall
0.89 [0.95,0.85,1,0.75,1,0.95,0.75,0.95,0.85,0.85]
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.07777777777777788
relative_absolute_error
0.11666666666666682
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.11666666666666682
relative_absolute_error
0.14444444444444465
relative_absolute_error
0.088888888888889
relative_absolute_error
0.14444444444444465
relative_absolute_error
0.1222222222222224
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.16431676725154987
root_mean_squared_error
0.11832159566199232
root_mean_squared_error
0.1449137674618944
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.1449137674618944
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.1264911064067352
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.14832396974191328
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.394405318873308
root_relative_squared_error
0.48304589153964833
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.48304589153964833
root_relative_squared_error
0.5374838498865704
root_relative_squared_error
0.42163702135578424
root_relative_squared_error
0.5374838498865704
root_relative_squared_error
0.49441323247304453
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
375
usercpu_time_millis
390.625
usercpu_time_millis
375
usercpu_time_millis
390.625
usercpu_time_millis
359.375
usercpu_time_millis
375
usercpu_time_millis
390.625
usercpu_time_millis
406.25
usercpu_time_millis
375
usercpu_time_millis
390.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
375
usercpu_time_millis_training
375
usercpu_time_millis_training
359.375
usercpu_time_millis_training
390.625
usercpu_time_millis_training
359.375
usercpu_time_millis_training
375
usercpu_time_millis_training
390.625
usercpu_time_millis_training
406.25
usercpu_time_millis_training
375
usercpu_time_millis_training
390.625