8784081
4009
Vishal Chouskey
3913
Supervised Classification
7694
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4)
6759398
categorical_features
[]
7256
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7256
handle_unknown
"ignore"
7256
n_values
"auto"
7256
sparse
true
7256
bootstrap
false
7257
class_weight
null
7257
criterion
"gini"
7257
max_depth
null
7257
max_features
0.6836270614096146
7257
max_leaf_nodes
null
7257
min_impurity_split
1e-07
7257
min_samples_leaf
7
7257
min_samples_split
12
7257
min_weight_fraction_leaf
0.0
7257
n_estimators
10
7257
n_jobs
1
7257
oob_score
false
7257
random_state
4727
7257
verbose
0
7257
warm_start
false
7257
threshold
0.0
7345
axis
0
7660
categorical_features
[]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"most_frequent"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
openml-pimp
openml-python
Sklearn_0.18.2.
1063
kc2
https://www.openml.org/data/download/53946/kc2.arff
-1
18484329
description
https://api.openml.org/data/download/18484329/description.xml
-1
18484330
predictions
https://api.openml.org/data/download/18484330/predictions.arff
area_under_roc_curve
0.7812295912622452 [0.78123,0.78123]
average_cost
0
f_measure
0.8199343330095514 [0.894366,0.53125]
kappa
0.4273106273008752
kb_relative_information_score
130.5661817634504
mean_absolute_error
0.21941338259078144
mean_prior_absolute_error
0.3265917931619429
number_of_instances
522 [415,107]
precision
0.8161287777164049 [0.871854,0.6]
predictive_accuracy
0.8275862068965517
prior_entropy
0.7339749614986164
recall
0.8275862068965517 [0.918072,0.476636]
relative_absolute_error
0.6718276061578305
root_mean_prior_squared_error
0.40368919342550386
root_mean_squared_error
0.3602993407527697
root_relative_squared_error
0.8925166851642728
total_cost
0
area_under_roc_curve
0.8582251082251082 [0.858225,0.858225]
area_under_roc_curve
0.8668831168831169 [0.866883,0.866883]
area_under_roc_curve
0.8154761904761905 [0.815476,0.815476]
area_under_roc_curve
0.7916666666666666 [0.791667,0.791667]
area_under_roc_curve
0.888095238095238 [0.888095,0.888095]
area_under_roc_curve
0.8159645232815964 [0.815965,0.815965]
area_under_roc_curve
0.6696230598669624 [0.669623,0.669623]
area_under_roc_curve
0.5920177383592018 [0.592018,0.592018]
area_under_roc_curve
0.6995565410199556 [0.699557,0.699557]
area_under_roc_curve
0.9002217294900222 [0.900222,0.900222]
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
0.7677611642494607 [0.876404,0.352941]
f_measure
0.8522116499769294 [0.921348,0.588235]
f_measure
0.835005574136009 [0.888889,0.608696]
f_measure
0.8461538461538461 [0.904762,0.6]
f_measure
0.9196978731862454 [0.953488,0.777778]
f_measure
0.816313407954275 [0.894118,0.526316]
f_measure
0.7781905594405595 [0.886364,0.375]
f_measure
0.7205128205128204 [0.833333,0.3]
f_measure
0.8296172426607211 [0.888889,0.608696]
f_measure
0.816313407954275 [0.894118,0.526316]
kappa
0.24187256176853067
kappa
0.5175552665799741
kappa
0.49999999999999983
kappa
0.5047619047619047
kappa
0.7319587628865981
kappa
0.4236453201970442
kappa
0.2797783933518005
kappa
0.13539192399049854
kappa
0.4978540772532188
kappa
0.4236453201970442
kb_relative_information_score
10.365895445943119
kb_relative_information_score
21.177251942596897
kb_relative_information_score
5.8713074772549785
kb_relative_information_score
12.706040755321379
kb_relative_information_score
22.95291316780783
kb_relative_information_score
14.774077701019378
kb_relative_information_score
16.23982166580008
kb_relative_information_score
-1.522406172676542
kb_relative_information_score
10.217235034523148
kb_relative_information_score
17.784044745860232
mean_absolute_error
0.2343317795459201
mean_absolute_error
0.18711064359856322
mean_absolute_error
0.2402611511523817
mean_absolute_error
0.21427935217108077
mean_absolute_error
0.16515098144781926
mean_absolute_error
0.21489541595130868
mean_absolute_error
0.20907664483754382
mean_absolute_error
0.289218370861613
mean_absolute_error
0.23990780300021444
mean_absolute_error
0.20023599761131575
mean_prior_absolute_error
0.32810024485092887
mean_prior_absolute_error
0.32810024485092887
mean_prior_absolute_error
0.3191426893716969
mean_prior_absolute_error
0.3191426893716969
mean_prior_absolute_error
0.3191426893716969
mean_prior_absolute_error
0.3304462712859658
mean_prior_absolute_error
0.3304462712859658
mean_prior_absolute_error
0.3304462712859658
mean_prior_absolute_error
0.3304462712859658
mean_prior_absolute_error
0.3304462712859658
number_of_instances
53 [42,11]
number_of_instances
53 [42,11]
number_of_instances
52 [42,10]
number_of_instances
52 [42,10]
number_of_instances
52 [42,10]
number_of_instances
52 [41,11]
number_of_instances
52 [41,11]
number_of_instances
52 [41,11]
number_of_instances
52 [41,11]
number_of_instances
52 [41,11]
precision
0.7613408269771177 [0.829787,0.5]
precision
0.8642446139435302 [0.87234,0.833333]
precision
0.8491124260355031 [0.923077,0.538462]
precision
0.8461538461538461 [0.904762,0.6]
precision
0.9208916083916083 [0.931818,0.875]
precision
0.8131555944055944 [0.863636,0.625]
precision
0.7811783960720131 [0.829787,0.6]
precision
0.7122838401908169 [0.813953,0.333333]
precision
0.8330128205128204 [0.9,0.583333]
precision
0.8131555944055944 [0.863636,0.625]
predictive_accuracy
0.7924528301886792
predictive_accuracy
0.8679245283018868
predictive_accuracy
0.826923076923077
predictive_accuracy
0.8461538461538461
predictive_accuracy
0.923076923076923
predictive_accuracy
0.826923076923077
predictive_accuracy
0.8076923076923077
predictive_accuracy
0.7307692307692308
predictive_accuracy
0.826923076923077
predictive_accuracy
0.826923076923077
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
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prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
prior_entropy
0.7339749614986164
recall
0.7924528301886793 [0.928571,0.272727]
recall
0.8679245283018868 [0.97619,0.454545]
recall
0.8269230769230769 [0.857143,0.7]
recall
0.8461538461538461 [0.904762,0.6]
recall
0.9230769230769231 [0.97619,0.7]
recall
0.8269230769230769 [0.926829,0.454545]
recall
0.8076923076923077 [0.95122,0.272727]
recall
0.7307692307692307 [0.853659,0.272727]
recall
0.8269230769230769 [0.878049,0.636364]
recall
0.8269230769230769 [0.926829,0.454545]
relative_absolute_error
0.714207877694172
relative_absolute_error
0.5702849861741989
relative_absolute_error
0.7528330090386498
relative_absolute_error
0.6714217787439755
relative_absolute_error
0.5174832040582085
relative_absolute_error
0.6503187798579809
relative_absolute_error
0.6327099531911812
relative_absolute_error
0.8752356918299904
relative_absolute_error
0.7260115300033148
relative_absolute_error
0.6059562930823116
root_mean_prior_squared_error
0.4055532228666397
root_mean_prior_squared_error
0.4055532228666397
root_mean_prior_squared_error
0.39435499375345345
root_mean_prior_squared_error
0.39435499375345345
root_mean_prior_squared_error
0.39435499375345345
root_mean_prior_squared_error
0.4084353596501597
root_mean_prior_squared_error
0.4084353596501597
root_mean_prior_squared_error
0.4084353596501597
root_mean_prior_squared_error
0.4084353596501597
root_mean_prior_squared_error
0.4084353596501597
root_mean_squared_error
0.3662840763275677
root_mean_squared_error
0.3111151874523702
root_mean_squared_error
0.37697890180382465
root_mean_squared_error
0.34039181377506295
root_mean_squared_error
0.2819772119780753
root_mean_squared_error
0.359143560998521
root_mean_squared_error
0.37671562629224886
root_mean_squared_error
0.4503992633007383
root_mean_squared_error
0.3849587699818559
root_mean_squared_error
0.3291026584034062
root_relative_squared_error
0.9031714104957684
root_relative_squared_error
0.7671377513739447
root_relative_squared_error
0.9559379436678513
root_relative_squared_error
0.8631609062059254
root_relative_squared_error
0.7150339578414581
root_relative_squared_error
0.879315545319438
root_relative_squared_error
0.9223384248976876
root_relative_squared_error
1.1027430722122646
root_relative_squared_error
0.942520672822225
root_relative_squared_error
0.805764365468492
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
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total_cost
0
usercpu_time_millis
74.12561900014225
usercpu_time_millis
79.60123200018643
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
72.56414300013603
usercpu_time_millis_testing
2.3926020000999415
usercpu_time_millis_testing
2.2471910001513606
usercpu_time_millis_testing
2.6148509998620284
usercpu_time_millis_testing
1.8623910000314936
usercpu_time_millis_testing
1.9181679999746848
usercpu_time_millis_testing
2.0975269999325974
usercpu_time_millis_testing
1.6815719998248824
usercpu_time_millis_testing
1.7856730000858079
usercpu_time_millis_testing
1.6813560000628058
usercpu_time_millis_testing
1.770414000020537
usercpu_time_millis_training
71.73301700004231
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
69.24797700003182
usercpu_time_millis_training
70.79372900011549