10437774
11497
Fares Gaaloul
3491
Supervised Classification
predictive_accuracy
17576
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(8)
8260894
memory
null
17576
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
17576
copy
true
17577
fill_value
null
17577
missing_values
NaN
17577
strategy
"mean"
17577
verbose
0
17577
class_weight
null
17578
criterion
"gini"
17578
max_depth
null
17578
max_features
null
17578
max_leaf_nodes
null
17578
min_impurity_decrease
0.0
17578
min_impurity_split
null
17578
min_samples_leaf
1
17578
min_samples_split
2
17578
min_weight_fraction_leaf
0.0
17578
presort
false
17578
random_state
47560
17578
splitter
"best"
17578
openml-python
Sklearn_0.20.1.
329
hayes-roth
https://www.openml.org/data/download/52233/phpRql5hp
-1
21799901
description
https://api.openml.org/data/download/21799901/description.xml
-1
21799902
predictions
https://api.openml.org/data/download/21799902/predictions.arff
area_under_roc_curve
0.9179403097587719 [0.900972,0.895426,1,0.0]
average_cost
0
f_measure
0.8058999548328817 [0.77037,0.747967,1,0.0]
kappa
0.6959480169190216
kb_relative_information_score
0.7724836826545944
mean_absolute_error
0.08177083333333335
mean_prior_absolute_error
0.32008384146341484
weighted_recall
0.80625 [0.8,0.71875,1,0.0]
number_of_instances
160 [65,64,31,0]
precision
0.8074001210653753 [0.742857,0.779661,1,0.0]
predictive_accuracy
0.80625
prior_entropy
1.5243197684173315
relative_absolute_error
0.25546692066515847
root_mean_prior_squared_error
0.39921449307516527
root_mean_squared_error
0.25147136461677344
root_relative_squared_error
0.6299154188508524
total_cost
0
area_under_roc_curve
0.8878472222222222 [0.865079,0.858333,1,0.0]
area_under_roc_curve
0.9444444444444444 [0.944444,0.916667,1,0.0]
area_under_roc_curve
0.8350694444444444 [0.801587,0.791667,1,0.0]
area_under_roc_curve
1 [1,1,1,0.0]
area_under_roc_curve
0.8680555555555556 [0.84127,0.833333,1,0.0]
area_under_roc_curve
0.9874999999999999 [0.983333,0.983333,1,0.0]
area_under_roc_curve
0.9444444444444444 [0.916667,0.944444,1,0.0]
area_under_roc_curve
0.9274305555555555 [0.908333,0.912698,1,0.0]
area_under_roc_curve
0.9802083333333333 [0.975,0.97619,1,0.0]
area_under_roc_curve
0.8208333333333333 [0.8,0.761905,1,0.0]
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
average_cost
0
f_measure
0.8102272727272727 [0.8,0.727273,1,0.0]
f_measure
0.9367424242424243 [0.933333,0.909091,1,0.0]
f_measure
0.6629901960784313 [0.705882,0.444444,1,0.0]
f_measure
0.8735119047619047 [0.833333,0.857143,1,0.0]
f_measure
0.75 [0.714286,0.666667,1,0.0]
f_measure
0.9370629370629371 [0.923077,0.909091,1,0.0]
f_measure
0.7977941176470589 [0.666667,0.823529,1,0.0]
f_measure
0.75 [0.666667,0.714286,1,0.0]
f_measure
0.8735119047619047 [0.857143,0.833333,1,0.0]
f_measure
0.6205357142857143 [0.571429,0.5,1,0.0]
kappa
0.7018633540372671
kappa
0.9006211180124224
kappa
0.4968553459119497
kappa
0.8048780487804879
kappa
0.6049382716049383
kappa
0.9047619047619048
kappa
0.6981132075471698
kappa
0.6049382716049383
kappa
0.8048780487804879
kappa
0.4146341463414634
kb_relative_information_score
0.7694089836285758
kb_relative_information_score
0.9150028449855785
kb_relative_information_score
0.6261219419307185
kb_relative_information_score
0.8376134127783733
kb_relative_information_score
0.7088122772859949
kb_relative_information_score
0.9021172362185256
kb_relative_information_score
0.7943000570280714
kb_relative_information_score
0.7357593000510991
kb_relative_information_score
0.8498494446856545
kb_relative_information_score
0.5803918663022397
mean_absolute_error
0.08333333333333334
mean_absolute_error
0.03125
mean_absolute_error
0.13541666666666669
mean_absolute_error
0.05729166666666667
mean_absolute_error
0.10416666666666669
mean_absolute_error
0.036458333333333336
mean_absolute_error
0.07291666666666667
mean_absolute_error
0.09375
mean_absolute_error
0.0546875
mean_absolute_error
0.14843750000000003
mean_prior_absolute_error
0.31935975609756095
mean_prior_absolute_error
0.31935975609756095
mean_prior_absolute_error
0.31935975609756095
mean_prior_absolute_error
0.31935975609756095
mean_prior_absolute_error
0.31935975609756095
mean_prior_absolute_error
0.3258384146341463
mean_prior_absolute_error
0.31955030487804875
mean_prior_absolute_error
0.31955030487804875
mean_prior_absolute_error
0.31955030487804875
mean_prior_absolute_error
0.31955030487804875
number_of_instances
16 [7,6,3,0]
number_of_instances
16 [7,6,3,0]
number_of_instances
16 [7,6,3,0]
number_of_instances
16 [7,6,3,0]
number_of_instances
16 [7,6,3,0]
number_of_instances
16 [6,6,4,0]
number_of_instances
16 [6,7,3,0]
number_of_instances
16 [6,7,3,0]
number_of_instances
16 [6,7,3,0]
number_of_instances
16 [6,7,3,0]
precision
0.815625 [0.75,0.8,1,0.0]
precision
0.9453125 [0.875,1,1,0.0]
precision
0.7 [0.6,0.666667,1,0.0]
precision
0.90625 [1,0.75,1,0.0]
precision
0.75 [0.714286,0.666667,1,0.0]
precision
0.9464285714285714 [0.857143,1,1,0.0]
precision
0.8687499999999999 [1,0.7,1,0.0]
precision
0.75 [0.666667,0.714286,1,0.0]
precision
0.90625 [0.75,1,1,0.0]
precision
0.6375 [0.5,0.6,1,0.0]
predictive_accuracy
0.8125
predictive_accuracy
0.9375
predictive_accuracy
0.6875
predictive_accuracy
0.875
predictive_accuracy
0.75
predictive_accuracy
0.9375
predictive_accuracy
0.8125
predictive_accuracy
0.75
predictive_accuracy
0.875
predictive_accuracy
0.625
prior_entropy
1.51724164751309
prior_entropy
1.51724164751309
prior_entropy
1.51724164751309
prior_entropy
1.51724164751309
prior_entropy
1.51724164751309
prior_entropy
1.5825162799729933
prior_entropy
1.518618291658715
prior_entropy
1.518618291658715
prior_entropy
1.518618291658715
prior_entropy
1.518618291658715
relative_absolute_error
0.26093874303898174
relative_absolute_error
0.09785202863961814
relative_absolute_error
0.4240254574383453
relative_absolute_error
0.17939538583929995
relative_absolute_error
0.3261734287987272
relative_absolute_error
0.1118908382066277
relative_absolute_error
0.2281852514410654
relative_absolute_error
0.2933810375670841
relative_absolute_error
0.17113893858079904
relative_absolute_error
0.46451997614788326
root_mean_prior_squared_error
0.39830657302561234
root_mean_prior_squared_error
0.39830657302561234
root_mean_prior_squared_error
0.39830657302561234
root_mean_prior_squared_error
0.39830657302561234
root_mean_prior_squared_error
0.39830657302561234
root_mean_prior_squared_error
0.4063579513827591
root_mean_prior_squared_error
0.39854569988383426
root_mean_prior_squared_error
0.39854569988383426
root_mean_prior_squared_error
0.39854569988383426
root_mean_prior_squared_error
0.39854569988383426
root_mean_squared_error
0.27638539919628335
root_mean_squared_error
0.1767766952966369
root_mean_squared_error
0.32542706982944397
root_mean_squared_error
0.1886538570445295
root_mean_squared_error
0.3004626062886658
root_mean_squared_error
0.1473139127471974
root_mean_squared_error
0.2429563289518875
root_mean_squared_error
0.23935677693908453
root_mean_squared_error
0.18221724671391565
root_mean_squared_error
0.3489194630092547
root_relative_squared_error
0.693901175410708
root_relative_squared_error
0.443820683032689
root_relative_squared_error
0.817026611831781
root_relative_squared_error
0.4736398287667688
root_relative_squared_error
0.7543501077732531
root_relative_squared_error
0.3625225303108161
root_relative_squared_error
0.6096072019412153
root_relative_squared_error
0.6005754848411382
root_relative_squared_error
0.4572054014559115
root_relative_squared_error
0.8754816903330175
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
2.1183069999892723
usercpu_time_millis
2.0835059999768646
usercpu_time_millis
1.9506280000030074
usercpu_time_millis
2.05646599998488
usercpu_time_millis
1.772142000007193
usercpu_time_millis
1.7005410000052734
usercpu_time_millis
1.6864420000075597
usercpu_time_millis
1.6681600000083563
usercpu_time_millis
1.7699870000029705
usercpu_time_millis
1.8372589999984257
usercpu_time_millis_testing
0.26947599999971317
usercpu_time_millis_testing
0.2811529999888762
usercpu_time_millis_testing
0.24855600000250888
usercpu_time_millis_testing
0.3183359999923141
usercpu_time_millis_testing
0.26486400000180765
usercpu_time_millis_testing
0.26661600000466024
usercpu_time_millis_testing
0.25922100000741466
usercpu_time_millis_testing
0.22510099999806243
usercpu_time_millis_testing
0.2377450000068393
usercpu_time_millis_testing
0.29682699999966644
usercpu_time_millis_training
1.8488309999895591
usercpu_time_millis_training
1.8023529999879884
usercpu_time_millis_training
1.7020720000004985
usercpu_time_millis_training
1.738129999992566
usercpu_time_millis_training
1.5072780000053854
usercpu_time_millis_training
1.4339250000006132
usercpu_time_millis_training
1.427221000000145
usercpu_time_millis_training
1.4430590000102939
usercpu_time_millis_training
1.5322419999961312
usercpu_time_millis_training
1.5404319999987592
wall_clock_time_millis
2.140045166015625
wall_clock_time_millis
2.1047592163085938
wall_clock_time_millis
1.9631385803222656
wall_clock_time_millis
2.1440982818603516
wall_clock_time_millis
1.7752647399902344
wall_clock_time_millis
1.7058849334716797
wall_clock_time_millis
1.6994476318359375
wall_clock_time_millis
1.6722679138183594
wall_clock_time_millis
1.771688461303711
wall_clock_time_millis
1.9085407257080078
wall_clock_time_millis_testing
0.2713203430175781
wall_clock_time_millis_testing
0.2834796905517578
wall_clock_time_millis_testing
0.2505779266357422
wall_clock_time_millis_testing
0.32067298889160156
wall_clock_time_millis_testing
0.2665519714355469
wall_clock_time_millis_testing
0.26988983154296875
wall_clock_time_millis_testing
0.26106834411621094
wall_clock_time_millis_testing
0.22721290588378906
wall_clock_time_millis_testing
0.2391338348388672
wall_clock_time_millis_testing
0.2994537353515625
wall_clock_time_millis_training
1.8687248229980469
wall_clock_time_millis_training
1.821279525756836
wall_clock_time_millis_training
1.7125606536865234
wall_clock_time_millis_training
1.82342529296875
wall_clock_time_millis_training
1.5087127685546875
wall_clock_time_millis_training
1.435995101928711
wall_clock_time_millis_training
1.4383792877197266
wall_clock_time_millis_training
1.4450550079345703
wall_clock_time_millis_training
1.5325546264648438
wall_clock_time_millis_training
1.6090869903564453
weighted_recall
0.8125 [0.857143,0.666667,1,0.0]
weighted_recall
0.9375 [1,0.833333,1,0.0]
weighted_recall
0.6875 [0.857143,0.333333,1,0.0]
weighted_recall
0.875 [0.714286,1,1,0.0]
weighted_recall
0.75 [0.714286,0.666667,1,0.0]
weighted_recall
0.9375 [1,0.833333,1,0.0]
weighted_recall
0.8125 [0.5,1,1,0.0]
weighted_recall
0.75 [0.666667,0.714286,1,0.0]
weighted_recall
0.875 [1,0.714286,1,0.0]
weighted_recall
0.625 [0.666667,0.428571,1,0.0]