5949253
1
Jan van Rijn
14
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
3983998
class_weight
null
6941
criterion
"gini"
6941
max_depth
3
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
51976
6941
splitter
"best"
6941
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
false
6948
threshold
0.0
6949
algorithm
"SAMME"
6971
learning_rate
0.22347287396027515
6971
n_estimators
471
6971
random_state
44567
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
12821988
description
https://www.openml.org/data/download/12821988/description.xml
-1
12821989
predictions
https://www.openml.org/data/download/12821989/predictions.arff
area_under_roc_curve
0.9678574999999999 [0.998833,0.908617,0.991322,0.985992,0.950372,0.985433,0.940694,0.990803,0.988792,0.937717]
average_cost
0
f_measure
0.7996628001932005 [0.967901,0.777011,0.943299,0.893939,0.738095,0.862471,0.594104,0.777778,0.935065,0.506964]
kappa
0.7777777777777778
kb_relative_information_score
12.040459390973611
mean_absolute_error
0.17972089576821332
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8089605893547237 [0.956098,0.719149,0.973404,0.903061,0.704545,0.80786,0.543568,0.93662,0.972973,0.572327]
predictive_accuracy
0.8
prior_entropy
3.321928094887362
recall
0.8 [0.98,0.845,0.915,0.885,0.775,0.925,0.655,0.665,0.9,0.455]
relative_absolute_error
0.9984494209344876
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.29953538038396677
root_relative_squared_error
0.9984512679465406
total_cost
0
area_under_roc_curve
0.9731666666666667 [0.997222,0.929444,0.9925,0.996944,0.966667,0.9975,0.938056,0.991667,0.991389,0.930278]
area_under_roc_curve
0.9718888888888888 [0.998333,0.918056,0.995278,0.986111,0.960556,0.983056,0.941944,0.986944,0.994444,0.954167]
area_under_roc_curve
0.9668611111111112 [0.996667,0.920833,0.9975,0.978889,0.95,0.979167,0.904167,0.986389,1,0.955]
area_under_roc_curve
0.9729166666666665 [0.998611,0.908333,0.995278,0.996111,0.980833,0.982778,0.953333,0.988333,0.993889,0.931667]
area_under_roc_curve
0.9635277777777779 [1,0.9225,0.975278,0.984167,0.911389,0.985278,0.962778,0.993056,0.979167,0.921667]
area_under_roc_curve
0.9764444444444444 [1,0.934722,0.999167,0.987222,0.968056,0.989444,0.9525,0.995,0.994167,0.944167]
area_under_roc_curve
0.9670833333333332 [0.998611,0.910556,0.996667,0.996111,0.935278,0.976389,0.952778,0.988333,0.990278,0.925833]
area_under_roc_curve
0.9699722222222223 [1,0.883611,0.9975,0.991389,0.971667,0.994167,0.932778,0.995833,0.973611,0.959167]
area_under_roc_curve
0.965611111111111 [1,0.900833,1,0.993056,0.93,0.968611,0.936111,0.998056,0.997222,0.932222]
area_under_roc_curve
0.95975 [1,0.871667,0.970278,0.961389,0.953889,0.992222,0.934444,0.992778,0.978333,0.9425]
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
0.7973756317408514 [0.95,0.790698,0.95,0.926829,0.744186,0.930233,0.5,0.823529,0.871795,0.486486]
f_measure
0.7578914840542749 [0.930233,0.790698,0.95,0.777778,0.666667,0.8,0.62963,0.787879,0.888889,0.357143]
f_measure
0.78463166798618 [0.947368,0.8,0.918919,0.810811,0.73913,0.790698,0.514286,0.727273,0.97561,0.622222]
f_measure
0.7679262506325025 [0.952381,0.755556,0.974359,0.926829,0.723404,0.857143,0.703704,0.518519,0.947368,0.32]
f_measure
0.8033609496414372 [1,0.772727,0.918919,0.9,0.666667,0.791667,0.634146,0.833333,0.97561,0.540541]
f_measure
0.8338171055757705 [0.97561,0.829268,1,0.871795,0.7,0.863636,0.711111,0.810811,0.947368,0.628571]
f_measure
0.7369270272211449 [0.95,0.711111,0.857143,0.904762,0.717949,0.844444,0.294118,0.722222,0.923077,0.444444]
f_measure
0.8432778839026723 [1,0.75,0.95,0.9,0.883721,0.926829,0.680851,0.923077,0.888889,0.529412]
f_measure
0.8188078588078589 [1,0.772727,0.974359,0.952381,0.769231,0.9,0.654545,0.857143,1,0.307692]
f_measure
0.804189265775485 [0.97561,0.8,0.926829,0.947368,0.755556,0.947368,0.444444,0.6875,0.918919,0.638298]
kappa
0.7777777777777778
kappa
0.7388888888888889
kappa
0.7611111111111112
kappa
0.7666666666666667
kappa
0.7833333333333334
kappa
0.8166666666666667
kappa
0.7111111111111111
kappa
0.8277777777777777
kappa
0.8111111111111111
kappa
0.7833333333333334
kb_relative_information_score
1.2160812148779656
kb_relative_information_score
1.1902021355236645
kb_relative_information_score
1.1929321792078689
kb_relative_information_score
1.1852035694574008
kb_relative_information_score
1.1918816030981092
kb_relative_information_score
1.1914586599581025
kb_relative_information_score
1.2113401131418104
kb_relative_information_score
1.1624676847025666
kb_relative_information_score
1.2296370029846302
kb_relative_information_score
1.2692552280214784
mean_absolute_error
0.17971775734915504
mean_absolute_error
0.17972383361020083
mean_absolute_error
0.17972398815919133
mean_absolute_error
0.17972501380868672
mean_absolute_error
0.1797238724452601
mean_absolute_error
0.17972353408719383
mean_absolute_error
0.1797193556089343
mean_absolute_error
0.17973032232456657
mean_absolute_error
0.17971544985145477
mean_absolute_error
0.17970583043749183
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
0.8033258337660008 [0.95,0.73913,0.95,0.904762,0.695652,0.869565,0.5,1,0.894737,0.529412]
precision
0.7915059288537549 [0.869565,0.73913,0.95,0.875,0.636364,0.72,0.5,1,1,0.625]
precision
0.8030787405263108 [1,0.72,1,0.882353,0.653846,0.73913,0.6,0.923077,0.952381,0.56]
precision
0.8300487791076026 [0.909091,0.68,1,0.904762,0.62963,0.818182,0.558824,1,1,0.8]
precision
0.8134068627450981 [1,0.708333,1,0.9,0.75,0.678571,0.619048,0.9375,0.952381,0.588235]
precision
0.8403994545186495 [0.952381,0.809524,1,0.894737,0.7,0.791667,0.64,0.882353,1,0.733333]
precision
0.746748974709501 [0.95,0.64,1,0.863636,0.736842,0.76,0.357143,0.8125,0.947368,0.4]
precision
0.8513667017786011 [1,0.75,0.95,0.9,0.826087,0.904762,0.592593,0.947368,1,0.642857]
precision
0.8487850307587149 [1,0.708333,1,0.909091,0.789474,0.9,0.514286,1,1,0.666667]
precision
0.822936507936508 [0.952381,0.72,0.904762,1,0.68,1,0.5,0.916667,1,0.555556]
predictive_accuracy
0.8
predictive_accuracy
0.765
predictive_accuracy
0.785
predictive_accuracy
0.79
predictive_accuracy
0.805
predictive_accuracy
0.835
predictive_accuracy
0.74
predictive_accuracy
0.845
predictive_accuracy
0.83
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
0.8 [0.95,0.85,0.95,0.95,0.8,1,0.5,0.7,0.85,0.45]
recall
0.765 [1,0.85,0.95,0.7,0.7,0.9,0.85,0.65,0.8,0.25]
recall
0.785 [0.9,0.9,0.85,0.75,0.85,0.85,0.45,0.6,1,0.7]
recall
0.79 [1,0.85,0.95,0.95,0.85,0.9,0.95,0.35,0.9,0.2]
recall
0.805 [1,0.85,0.85,0.9,0.6,0.95,0.65,0.75,1,0.5]
recall
0.835 [1,0.85,1,0.85,0.7,0.95,0.8,0.75,0.9,0.55]
recall
0.74 [0.95,0.8,0.75,0.95,0.7,0.95,0.25,0.65,0.9,0.5]
recall
0.845 [1,0.75,0.95,0.9,0.95,0.95,0.8,0.9,0.8,0.45]
recall
0.83 [1,0.85,0.95,1,0.75,0.9,0.9,0.75,1,0.2]
recall
0.805 [1,0.9,0.95,0.9,0.85,0.9,0.4,0.55,0.85,0.75]
relative_absolute_error
0.9984319852730846
relative_absolute_error
0.9984657422788946
relative_absolute_error
0.9984666008843973
relative_absolute_error
0.9984722989371495
relative_absolute_error
0.9984659580292239
relative_absolute_error
0.998464078262189
relative_absolute_error
0.9984408644940804
relative_absolute_error
0.9985017906920376
relative_absolute_error
0.9984191658414165
relative_absolute_error
0.9983657246527335
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
0.2995301306168253
root_mean_squared_error
0.2995402448470518
root_mean_squared_error
0.2995405728741442
root_mean_squared_error
0.2995422442816202
root_mean_squared_error
0.2995403646289338
root_mean_squared_error
0.2995397355464521
root_mean_squared_error
0.2995328204452653
root_mean_squared_error
0.299551054966827
root_mean_squared_error
0.2995263238311821
root_mean_squared_error
0.2995103099119315
root_relative_squared_error
0.9984337687227517
root_relative_squared_error
0.9984674828235065
root_relative_squared_error
0.998468576247148
root_relative_squared_error
0.9984741476054012
root_relative_squared_error
0.9984678820964465
root_relative_squared_error
0.9984657851548409
root_relative_squared_error
0.9984427348175516
root_relative_squared_error
0.9985035165560905
root_relative_squared_error
0.9984210794372743
root_relative_squared_error
0.9983676997064389
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
22615.039194000004
usercpu_time_millis
22914.219989999998
usercpu_time_millis
22716.812847
usercpu_time_millis
22643.650486000013
usercpu_time_millis
22670.472293999996
usercpu_time_millis
23030.254558999986
usercpu_time_millis
22650.17424199999
usercpu_time_millis
22639.01961899998
usercpu_time_millis
22859.957995999965
usercpu_time_millis
22827.345356000023
usercpu_time_millis_testing
67.97640300000296
usercpu_time_millis_testing
64.97435800000062
usercpu_time_millis_testing
64.32341000000008
usercpu_time_millis_testing
62.62942700000451
usercpu_time_millis_testing
64.85451199999659
usercpu_time_millis_testing
64.53572299997745
usercpu_time_millis_testing
68.16809099998977
usercpu_time_millis_testing
63.2966969999984
usercpu_time_millis_testing
65.39239199997837
usercpu_time_millis_testing
62.25178300002199
usercpu_time_millis_training
22547.062791
usercpu_time_millis_training
22849.245632
usercpu_time_millis_training
22652.489437
usercpu_time_millis_training
22581.02105900001
usercpu_time_millis_training
22605.617781999998
usercpu_time_millis_training
22965.718836000007
usercpu_time_millis_training
22582.006151
usercpu_time_millis_training
22575.722921999983
usercpu_time_millis_training
22794.565603999985
usercpu_time_millis_training
22765.093573000002