10560510
6691
Sergey Redyuk
15
Supervised Classification
18928
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(9)
8276911
Python_3.6.14. Sklearn_0.19.1. NumPy_1.16.6. SciPy_0.19.0.
memory
null
18928
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
18928
axis
0
18929
copy
true
18929
missing_values
"NaN"
18929
strategy
"mean"
18929
verbose
0
18929
class_weight
null
18930
criterion
"gini"
18930
max_depth
null
18930
max_features
null
18930
max_leaf_nodes
null
18930
min_impurity_decrease
0.0
18930
min_impurity_split
null
18930
min_samples_leaf
1
18930
min_samples_split
2
18930
min_weight_fraction_leaf
0.0
18930
presort
false
18930
random_state
2890
18930
splitter
"best"
18930
openml-python
Sklearn_0.19.1.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
22047105
description
https://api.openml.org/data/download/22047105/description.xml
-1
22047106
predictions
https://api.openml.org/data/download/22047106/predictions.arff
area_under_roc_curve
0.9348149087680516 [0.934815,0.934815]
average_cost
0
f_measure
0.9440064648110029 [0.957746,0.917895]
kappa
0.8756551129599474
kb_relative_information_score
0.8711998239284662
mean_absolute_error
0.055793991416309016
mean_prior_absolute_error
0.4519499019385762
weighted_recall
0.944206008583691 [0.965066,0.904564]
number_of_instances
699 [458,241]
precision
0.9440166009735441 [0.950538,0.931624]
predictive_accuracy
0.944206008583691
prior_entropy
0.92931856324281
relative_absolute_error
0.1234517170531257
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.23620751769642942
root_relative_squared_error
0.496969164186007
total_cost
0
unweighted_recall
0.9348149087680516 [0.965066,0.904564]
area_under_roc_curve
0.9365942028985509 [0.936594,0.936594]
area_under_roc_curve
0.947463768115942 [0.947464,0.947464]
area_under_roc_curve
0.9791666666666665 [0.979167,0.979167]
area_under_roc_curve
0.9782608695652174 [0.978261,0.978261]
area_under_roc_curve
0.8740942028985508 [0.874094,0.874094]
area_under_roc_curve
0.9266304347826088 [0.92663,0.92663]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.8940217391304348 [0.894022,0.894022]
area_under_roc_curve
0.9377777777777778 [0.937778,0.937778]
area_under_roc_curve
0.9361111111111111 [0.936111,0.936111]
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
0.9428571428571428 [0.956522,0.916667]
f_measure
0.9569173448377291 [0.967742,0.93617]
f_measure
0.9856391149459097 [0.989247,0.978723]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
0.8982456140350877 [0.926316,0.844444]
f_measure
0.9422228095678605 [0.957447,0.913043]
f_measure
0.956390977443609 [0.968421,0.933333]
f_measure
0.9004709576138148 [0.923077,0.857143]
f_measure
0.9428571428571428 [0.955556,0.92]
f_measure
0.9420289855072463 [0.955556,0.916667]
kappa
0.8731884057971014
kappa
0.9039341262580056
kappa
0.9679780420860019
kappa
0.9378330373001776
kappa
0.7712418300653595
kappa
0.8706099815157116
kappa
0.9019607843137256
kappa
0.7802690582959642
kappa
0.8755555555555555
kappa
0.8722222222222221
kb_relative_information_score
0.867833660462011
kb_relative_information_score
0.9008752453465084
kb_relative_information_score
0.9669584151155027
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.7687089058085198
kb_relative_information_score
0.8678336604620114
kb_relative_information_score
0.9008752453465084
kb_relative_information_score
0.7687089058085198
kb_relative_information_score
0.8696871296889499
kb_relative_information_score
0.8665782713847476
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.014285714285714285
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.1
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.1
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.057971014492753624
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45577746077032805
mean_prior_absolute_error
0.45289338212491465
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [45,25]
number_of_instances
69 [45,24]
precision
0.9428571428571428 [0.956522,0.916667]
precision
0.9571296418659971 [0.957447,0.956522]
precision
0.9860182370820668 [0.978723,1]
precision
0.9736263736263737 [1,0.923077]
precision
0.9002915451895044 [0.897959,0.904762]
precision
0.9433441558441558 [0.9375,0.954545]
precision
0.9597667638483965 [0.938776,1]
precision
0.9013333333333333 [0.933333,0.84]
precision
0.9428571428571428 [0.955556,0.92]
precision
0.9420289855072463 [0.955556,0.916667]
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9420289855072465
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9407371142179634
prior_entropy
0.9321331970800204
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.09495214014809465
relative_absolute_error
0.03165071338269822
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.2215549936788875
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.09495214014809465
relative_absolute_error
0.2215549936788875
relative_absolute_error
0.1253744690364409
relative_absolute_error
0.128001460786999
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.4793057111336632
root_mean_prior_squared_error
0.4762876085727333
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.11952286093343936
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.31622776601683794
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.31622776601683794
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.2407717061715384
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.43613377923190605
root_relative_squared_error
0.25180195484222984
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.6662053521524564
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.43613377923190605
root_relative_squared_error
0.6662053521524564
root_relative_squared_error
0.49873330593429216
root_relative_squared_error
0.5055174685166525
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
unweighted_recall
0.9365942028985508 [0.956522,0.916667]
unweighted_recall
0.947463768115942 [0.978261,0.916667]
unweighted_recall
0.9791666666666667 [1,0.958333]
unweighted_recall
0.9782608695652174 [0.956522,1]
unweighted_recall
0.8740942028985508 [0.956522,0.791667]
unweighted_recall
0.9266304347826086 [0.978261,0.875]
unweighted_recall
0.9375 [1,0.875]
unweighted_recall
0.8940217391304348 [0.913043,0.875]
unweighted_recall
0.9377777777777778 [0.955556,0.92]
unweighted_recall
0.9361111111111111 [0.955556,0.916667]
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
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_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
wall_clock_time_millis
5.470991134643555
wall_clock_time_millis
2.2819042205810547
wall_clock_time_millis
2.2399425506591797
wall_clock_time_millis
2.3393630981445312
wall_clock_time_millis
3.232717514038086
wall_clock_time_millis
2.2428035736083984
wall_clock_time_millis
2.2306442260742188
wall_clock_time_millis
2.2051334381103516
wall_clock_time_millis
2.218961715698242
wall_clock_time_millis
2.5353431701660156
wall_clock_time_millis_testing
0.3371238708496094
wall_clock_time_millis_testing
0.2601146697998047
wall_clock_time_millis_testing
0.2608299255371094
wall_clock_time_millis_testing
0.30303001403808594
wall_clock_time_millis_testing
0.35881996154785156
wall_clock_time_millis_testing
0.27108192443847656
wall_clock_time_millis_testing
0.2770423889160156
wall_clock_time_millis_testing
0.2543926239013672
wall_clock_time_millis_testing
0.2758502960205078
wall_clock_time_millis_testing
0.3142356872558594
wall_clock_time_millis_training
5.133867263793945
wall_clock_time_millis_training
2.02178955078125
wall_clock_time_millis_training
1.9791126251220703
wall_clock_time_millis_training
2.0363330841064453
wall_clock_time_millis_training
2.8738975524902344
wall_clock_time_millis_training
1.9717216491699219
wall_clock_time_millis_training
1.9536018371582031
wall_clock_time_millis_training
1.9507408142089844
wall_clock_time_millis_training
1.9431114196777344
wall_clock_time_millis_training
2.2211074829101562
weighted_recall
0.9428571428571428 [0.956522,0.916667]
weighted_recall
0.9571428571428572 [0.978261,0.916667]
weighted_recall
0.9857142857142858 [1,0.958333]
weighted_recall
0.9714285714285714 [0.956522,1]
weighted_recall
0.9 [0.956522,0.791667]
weighted_recall
0.9428571428571428 [0.978261,0.875]
weighted_recall
0.9571428571428572 [1,0.875]
weighted_recall
0.9 [0.913043,0.875]
weighted_recall
0.9428571428571428 [0.955556,0.92]
weighted_recall
0.9420289855072463 [0.955556,0.916667]