6032907
1
Jan van Rijn
14
Supervised Classification
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4067591
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.3290719386778439
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
1
6902
min_samples_split
6
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
51248
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
12988875
description
https://api.openml.org/data/download/12988875/description.xml
-1
12988876
predictions
https://api.openml.org/data/download/12988876/predictions.arff
area_under_roc_curve
0.9833575000000001 [1,0.977906,0.996964,0.993764,0.980738,0.994789,0.94821,0.993003,0.999606,0.948597]
average_cost
0
f_measure
0.8405217370475565 [0.995025,0.817259,0.952381,0.904523,0.828125,0.921569,0.558824,0.901205,0.972152,0.554156]
kappa
0.8227777777777778
kb_relative_information_score
1611.9293302139006
mean_absolute_error
0.05692588333333206
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.841267266825443 [0.990099,0.829897,0.954774,0.909091,0.86413,0.903846,0.548077,0.869767,0.984615,0.558376]
predictive_accuracy
0.8405
prior_entropy
3.321928094887362
recall
0.8405 [1,0.805,0.95,0.9,0.795,0.94,0.57,0.935,0.96,0.55]
relative_absolute_error
0.3162549074073906
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1535257976421789
root_relative_squared_error
0.5117526588072552
total_cost
0
area_under_roc_curve
0.9835833333333334 [1,0.984167,0.995556,0.996667,0.986944,1,0.926667,0.994444,1,0.951389]
area_under_roc_curve
0.9826527777777778 [1,0.969861,0.997778,0.991944,0.985556,0.992222,0.9475,0.989722,0.999167,0.952778]
area_under_roc_curve
0.978125 [1,0.986944,1,0.971944,0.9875,0.986944,0.912361,0.991389,1,0.944167]
area_under_roc_curve
0.9895 [1,0.985,0.994722,0.997222,0.992778,0.997778,0.975278,0.997222,1,0.955]
area_under_roc_curve
0.9852777777777778 [1,0.976944,0.999722,0.995,0.991111,0.995,0.956111,0.992778,1,0.946111]
area_under_roc_curve
0.9862777777777778 [1,0.983611,1,0.994722,0.992222,0.995278,0.954444,0.994722,1,0.947778]
area_under_roc_curve
0.9830555555555555 [1,0.964306,0.992778,0.998611,0.980556,0.99,0.972222,0.988889,1,0.943194]
area_under_roc_curve
0.9878888888888889 [1,0.976667,0.998333,0.997222,0.97,0.998611,0.968056,0.995278,0.998889,0.975833]
area_under_roc_curve
0.980638888888889 [1,0.970556,1,0.998333,0.968333,0.995,0.9425,0.996944,1,0.934722]
area_under_roc_curve
0.9771944444444445 [1,0.985972,0.991806,0.999444,0.951111,0.999722,0.919167,0.9925,0.996944,0.935278]
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
0.8283488244977333 [1,0.829268,0.926829,0.947368,0.878049,1,0.378378,0.871795,0.97561,0.47619]
f_measure
0.8241294041326879 [0.97561,0.842105,0.926829,0.9,0.756757,0.837209,0.578947,0.878049,0.974359,0.571429]
f_measure
0.8165879815818616 [1,0.744186,0.947368,0.789474,0.842105,0.904762,0.461538,0.871795,1,0.604651]
f_measure
0.8497642149661732 [1,0.820513,0.974359,0.904762,0.837209,0.9,0.651163,0.894737,0.974359,0.540541]
f_measure
0.833362948540427 [1,0.736842,0.947368,0.904762,0.810811,0.952381,0.571429,0.883721,1,0.526316]
f_measure
0.8740010044888094 [1,0.878049,1,0.864865,0.85,0.878049,0.7,0.952381,0.95,0.666667]
f_measure
0.8425337695809678 [1,0.842105,0.947368,0.926829,0.789474,0.904762,0.651163,0.863636,1,0.5]
f_measure
0.8702123692495966 [1,0.769231,0.97561,0.926829,0.842105,0.947368,0.681818,0.909091,0.947368,0.702703]
f_measure
0.8553947711842449 [1,0.864865,1,0.952381,0.842105,0.923077,0.473684,0.952381,1,0.545455]
f_measure
0.8071705492703423 [0.97561,0.85,0.883721,0.918919,0.823529,0.97561,0.409091,0.930233,0.894737,0.410256]
kappa
0.8111111111111111
kappa
0.8055555555555555
kappa
0.7944444444444444
kappa
0.8333333333333333
kappa
0.8166666666666667
kappa
0.8611111111111112
kappa
0.8277777777777777
kappa
0.8555555555555555
kappa
0.8388888888888889
kappa
0.7833333333333334
kb_relative_information_score
160.51559637869101
kb_relative_information_score
159.49187633111023
kb_relative_information_score
157.84961970321154
kb_relative_information_score
164.18379356641148
kb_relative_information_score
160.35701013409746
kb_relative_information_score
163.1811413395079
kb_relative_information_score
161.93018758933425
kb_relative_information_score
163.5472450245139
kb_relative_information_score
163.68165775228852
kb_relative_information_score
157.19120239473895
mean_absolute_error
0.057867499999999905
mean_absolute_error
0.05853316666666515
mean_absolute_error
0.0597386666666611
mean_absolute_error
0.05461816666666741
mean_absolute_error
0.05908399999999848
mean_absolute_error
0.05474833333332876
mean_absolute_error
0.056355666666666186
mean_absolute_error
0.05504716666666905
mean_absolute_error
0.05405883333333414
mean_absolute_error
0.05920733333333054
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
0.8284856526342594 [1,0.809524,0.904762,1,0.857143,1,0.411765,0.894737,0.952381,0.454545]
precision
0.826587836715714 [0.952381,0.888889,0.904762,0.9,0.823529,0.782609,0.611111,0.857143,1,0.545455]
precision
0.8215149203707557 [1,0.695652,1,0.833333,0.888889,0.863636,0.473684,0.894737,1,0.565217]
precision
0.8529725713182438 [1,0.842105,1,0.863636,0.782609,0.9,0.608696,0.944444,1,0.588235]
precision
0.8359955049213361 [1,0.777778,1,0.863636,0.882353,0.909091,0.545455,0.826087,1,0.555556]
precision
0.8748763620280647 [1,0.857143,1,0.941176,0.85,0.857143,0.7,0.909091,0.95,0.684211]
precision
0.845348280946107 [1,0.888889,1,0.904762,0.833333,0.863636,0.608696,0.791667,1,0.5625]
precision
0.8758544645928545 [1,0.789474,0.952381,0.904762,0.888889,1,0.625,0.833333,1,0.764706]
precision
0.8595615598711573 [1,0.941176,1,0.909091,0.888889,0.947368,0.5,0.909091,1,0.5]
precision
0.8190911154698342 [0.952381,0.85,0.826087,1,1,0.952381,0.375,0.869565,0.944444,0.421053]
predictive_accuracy
0.83
predictive_accuracy
0.825
predictive_accuracy
0.815
predictive_accuracy
0.85
predictive_accuracy
0.835
predictive_accuracy
0.875
predictive_accuracy
0.845
predictive_accuracy
0.87
predictive_accuracy
0.855
predictive_accuracy
0.805
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
0.83 [1,0.85,0.95,0.9,0.9,1,0.35,0.85,1,0.5]
recall
0.825 [1,0.8,0.95,0.9,0.7,0.9,0.55,0.9,0.95,0.6]
recall
0.815 [1,0.8,0.9,0.75,0.8,0.95,0.45,0.85,1,0.65]
recall
0.85 [1,0.8,0.95,0.95,0.9,0.9,0.7,0.85,0.95,0.5]
recall
0.835 [1,0.7,0.9,0.95,0.75,1,0.6,0.95,1,0.5]
recall
0.875 [1,0.9,1,0.8,0.85,0.9,0.7,1,0.95,0.65]
recall
0.845 [1,0.8,0.9,0.95,0.75,0.95,0.7,0.95,1,0.45]
recall
0.87 [1,0.75,1,0.95,0.8,0.9,0.75,1,0.9,0.65]
recall
0.855 [1,0.8,1,1,0.8,0.9,0.45,1,1,0.6]
recall
0.805 [1,0.85,0.95,0.85,0.7,1,0.45,1,0.85,0.4]
relative_absolute_error
0.3214861111111109
relative_absolute_error
0.3251842592592512
relative_absolute_error
0.3318814814814509
relative_absolute_error
0.3034342592592637
relative_absolute_error
0.32824444444443635
relative_absolute_error
0.3041574074073823
relative_absolute_error
0.3130870370370347
relative_absolute_error
0.30581759259260616
relative_absolute_error
0.30032685185185665
relative_absolute_error
0.3289296296296145
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
0.15494366583805746
root_mean_squared_error
0.16035869870387348
root_mean_squared_error
0.16277873299870638
root_mean_squared_error
0.1451248115129501
root_mean_squared_error
0.15592751138127045
root_mean_squared_error
0.14791692985891325
root_mean_squared_error
0.15118063919255129
root_mean_squared_error
0.1474478758183253
root_mean_squared_error
0.14546247721587147
root_mean_squared_error
0.16270379767472684
root_relative_squared_error
0.5164788861268585
root_relative_squared_error
0.5345289956795786
root_relative_squared_error
0.5425957766623549
root_relative_squared_error
0.48374937170983395
root_relative_squared_error
0.5197583712709019
root_relative_squared_error
0.49305643286304446
root_relative_squared_error
0.5039354639751713
root_relative_squared_error
0.49149291939441797
root_relative_squared_error
0.48487492405290517
root_relative_squared_error
0.5423459922490897
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
6601.418985999771
usercpu_time_millis
6431.096337008057
usercpu_time_millis
6578.687373003049
usercpu_time_millis
6383.010885998374
usercpu_time_millis
6477.454141000635
usercpu_time_millis
6417.113514005905
usercpu_time_millis
6452.070049002941
usercpu_time_millis
6401.6966720009805
usercpu_time_millis
6439.506449998589
usercpu_time_millis
6539.639328002522
usercpu_time_millis_testing
20.55863900022814
usercpu_time_millis_testing
20.469433002290316
usercpu_time_millis_testing
20.481523002672475
usercpu_time_millis_testing
20.66060100332834
usercpu_time_millis_testing
20.395371997437906
usercpu_time_millis_testing
20.320717005233746
usercpu_time_millis_testing
20.409274999110494
usercpu_time_millis_testing
20.93897400482092
usercpu_time_millis_testing
20.357430999865755
usercpu_time_millis_testing
20.690196004579775
usercpu_time_millis_training
6580.860346999543
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
6419.1490189987235
usercpu_time_millis_training
6518.9491319979425