6028816
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)
4063500
bootstrap
true
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.39182345066364366
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
4
6902
min_samples_split
14
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
8057
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
"median"
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
12980727
description
https://api.openml.org/data/download/12980727/description.xml
-1
12980728
predictions
https://api.openml.org/data/download/12980728/predictions.arff
area_under_roc_curve
0.9835291666666667 [0.999992,0.977931,0.995919,0.992342,0.981372,0.994044,0.949222,0.9931,0.999292,0.952078]
average_cost
0
f_measure
0.8270052526998118 [0.995,0.772727,0.937656,0.896203,0.809399,0.905941,0.544987,0.888889,0.954774,0.564477]
kappa
0.8083333333333333
kb_relative_information_score
1573.0172952479154
mean_absolute_error
0.06336333215969397
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8275936175695517 [0.995,0.780612,0.935323,0.907692,0.846995,0.897059,0.560847,0.843049,0.959596,0.549763]
predictive_accuracy
0.8275
prior_entropy
3.321928094887362
recall
0.8275 [0.995,0.765,0.94,0.885,0.775,0.915,0.53,0.94,0.95,0.58]
relative_absolute_error
0.35201851199828904
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.15855220132228212
root_relative_squared_error
0.5285073377409323
total_cost
0
area_under_roc_curve
0.9811944444444444 [1,0.981667,0.991389,0.995556,0.974167,1,0.926111,0.993889,0.998889,0.950278]
area_under_roc_curve
0.983111111111111 [1,0.978611,0.997222,0.983333,0.974167,0.990833,0.959722,0.991944,0.998889,0.956389]
area_under_roc_curve
0.9790277777777777 [1,0.978056,1,0.981111,0.984167,0.993889,0.913333,0.990556,1,0.949167]
area_under_roc_curve
0.9894722222222222 [1,0.985556,0.996111,0.995833,0.993333,0.995833,0.980833,0.996389,1,0.950833]
area_under_roc_curve
0.9840555555555555 [1,0.973056,0.997778,0.996389,0.989167,0.993889,0.955278,0.993611,1,0.941389]
area_under_roc_curve
0.9860277777777777 [1,0.982778,0.999722,0.995556,0.994167,0.993333,0.946944,0.993611,0.999444,0.954722]
area_under_roc_curve
0.9858611111111112 [1,0.978889,0.995,0.997778,0.989722,0.990278,0.975,0.989722,1,0.942222]
area_under_roc_curve
0.9866111111111111 [1,0.971944,0.998611,0.993889,0.979444,0.996944,0.96,0.995,0.996944,0.973333]
area_under_roc_curve
0.9837777777777776 [1,0.98,0.999722,0.998333,0.984722,0.985833,0.945556,0.995833,1,0.947778]
area_under_roc_curve
0.9778055555555557 [1,0.971944,0.988611,0.992222,0.958889,0.999167,0.926667,0.993889,0.998611,0.948056]
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
0.7995037269106589 [1,0.772727,0.926829,0.923077,0.789474,0.974359,0.368421,0.878049,0.923077,0.439024]
f_measure
0.8178574014774271 [1,0.871795,0.894737,0.894737,0.722222,0.857143,0.5,0.888889,0.926829,0.622222]
f_measure
0.7950842079526736 [1,0.697674,0.947368,0.820513,0.780488,0.85,0.432432,0.842105,0.97561,0.604651]
f_measure
0.8637256081992923 [0.974359,0.756757,0.95,0.904762,0.833333,0.947368,0.761905,0.842105,1,0.666667]
f_measure
0.7901920708958653 [1,0.702703,0.947368,0.904762,0.742857,0.883721,0.473684,0.844444,0.952381,0.45]
f_measure
0.8530949274435258 [1,0.837209,1,0.842105,0.820513,0.9,0.634146,0.952381,0.95,0.594595]
f_measure
0.8446908312055937 [1,0.769231,0.947368,0.926829,0.888889,0.904762,0.615385,0.844444,1,0.55]
f_measure
0.839529901339914 [1,0.731707,0.952381,0.894737,0.756757,0.85,0.65,0.909091,0.918919,0.731707]
f_measure
0.8493208559350829 [1,0.823529,0.952381,0.952381,0.864865,0.95,0.486486,0.930233,1,0.533333]
f_measure
0.8136293618347232 [0.97561,0.769231,0.863636,0.888889,0.888889,0.95,0.487805,0.952381,0.894737,0.465116]
kappa
0.7777777777777778
kappa
0.7999999999999999
kappa
0.7722222222222223
kappa
0.85
kappa
0.7722222222222223
kappa
0.8388888888888889
kappa
0.8277777777777777
kappa
0.8222222222222222
kappa
0.8333333333333333
kappa
0.788888888888889
kb_relative_information_score
156.60376459246285
kb_relative_information_score
156.24392212275885
kb_relative_information_score
153.512348250694
kb_relative_information_score
159.82797071961352
kb_relative_information_score
156.06098757549603
kb_relative_information_score
159.9343822269782
kb_relative_information_score
158.60265952894687
kb_relative_information_score
157.95373138462517
kb_relative_information_score
160.44015027095853
kb_relative_information_score
153.8373785753815
mean_absolute_error
0.06448756727400147
mean_absolute_error
0.06431030158413117
mean_absolute_error
0.06722951787063097
mean_absolute_error
0.0610199551554217
mean_absolute_error
0.06440462631186226
mean_absolute_error
0.06102441950357797
mean_absolute_error
0.06257090343070912
mean_absolute_error
0.06297095462432173
mean_absolute_error
0.060050542764444055
mean_absolute_error
0.06556453307783877
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
0.801576858813701 [1,0.708333,0.904762,0.947368,0.833333,1,0.388889,0.857143,0.947368,0.428571]
precision
0.8241569453937875 [1,0.894737,0.944444,0.944444,0.8125,0.818182,0.5625,0.8,0.904762,0.56]
precision
0.7983259405974441 [1,0.652174,1,0.842105,0.761905,0.85,0.470588,0.888889,0.952381,0.565217]
precision
0.8717613105848401 [1,0.823529,0.95,0.863636,0.714286,1,0.727273,0.888889,1,0.75]
precision
0.794018677826862 [1,0.764706,1,0.863636,0.866667,0.826087,0.5,0.76,0.909091,0.45]
precision
0.8538800199366896 [1,0.782609,1,0.888889,0.842105,0.9,0.619048,0.909091,0.95,0.647059]
precision
0.8499450899977217 [1,0.789474,1,0.904762,1,0.863636,0.631579,0.76,1,0.55]
precision
0.843896952720482 [1,0.714286,0.909091,0.944444,0.823529,0.85,0.65,0.833333,1,0.714286]
precision
0.858833527086724 [1,1,0.909091,0.909091,0.941176,0.95,0.529412,0.869565,1,0.48]
precision
0.8248029741679627 [0.952381,0.789474,0.791667,1,1,0.95,0.47619,0.909091,0.944444,0.434783]
predictive_accuracy
0.8
predictive_accuracy
0.82
predictive_accuracy
0.795
predictive_accuracy
0.865
predictive_accuracy
0.795
predictive_accuracy
0.855
predictive_accuracy
0.845
predictive_accuracy
0.84
predictive_accuracy
0.85
predictive_accuracy
0.81
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 [1,0.85,0.95,0.9,0.75,0.95,0.35,0.9,0.9,0.45]
recall
0.82 [1,0.85,0.85,0.85,0.65,0.9,0.45,1,0.95,0.7]
recall
0.795 [1,0.75,0.9,0.8,0.8,0.85,0.4,0.8,1,0.65]
recall
0.865 [0.95,0.7,0.95,0.95,1,0.9,0.8,0.8,1,0.6]
recall
0.795 [1,0.65,0.9,0.95,0.65,0.95,0.45,0.95,1,0.45]
recall
0.855 [1,0.9,1,0.8,0.8,0.9,0.65,1,0.95,0.55]
recall
0.845 [1,0.75,0.9,0.95,0.8,0.95,0.6,0.95,1,0.55]
recall
0.84 [1,0.75,1,0.85,0.7,0.85,0.65,1,0.85,0.75]
recall
0.85 [1,0.7,1,1,0.8,0.95,0.45,1,1,0.6]
recall
0.81 [1,0.75,0.95,0.8,0.8,0.95,0.5,1,0.85,0.5]
relative_absolute_error
0.35826426263334193
relative_absolute_error
0.3572794532451736
relative_absolute_error
0.37349732150350584
relative_absolute_error
0.3389997508634542
relative_absolute_error
0.3578034795103463
relative_absolute_error
0.33902455279765575
relative_absolute_error
0.3476161301706066
relative_absolute_error
0.3498386368017878
relative_absolute_error
0.333614126469134
relative_absolute_error
0.3642474059879936
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
0.16138916966555023
root_mean_squared_error
0.16298246705135436
root_mean_squared_error
0.16692426757839957
root_mean_squared_error
0.15087846925634835
root_mean_squared_error
0.16205959034908374
root_mean_squared_error
0.1520347879642956
root_mean_squared_error
0.155152807952275
root_mean_squared_error
0.15704129164565622
root_mean_squared_error
0.1505794755726892
root_mean_squared_error
0.165420089655975
root_relative_squared_error
0.5379638988851677
root_relative_squared_error
0.5432748901711816
root_relative_squared_error
0.5564142252613322
root_relative_squared_error
0.5029282308544949
root_relative_squared_error
0.5401986344969462
root_relative_squared_error
0.5067826265476523
root_relative_squared_error
0.5171760265075837
root_relative_squared_error
0.5234709721521876
root_relative_squared_error
0.5019315852422976
root_relative_squared_error
0.5514002988532504
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
15061.85113599713
usercpu_time_millis
15019.164073997672
usercpu_time_millis
14932.655270004034
usercpu_time_millis
15054.149265000888
usercpu_time_millis
14959.513005003828
usercpu_time_millis
15981.553595996957
usercpu_time_millis
15151.676460998715
usercpu_time_millis
15275.356025998917
usercpu_time_millis
14995.652865000011
usercpu_time_millis
14930.45092599641
usercpu_time_millis_testing
20.968689997971524
usercpu_time_millis_testing
21.161284999834606
usercpu_time_millis_testing
21.070400001917733
usercpu_time_millis_testing
21.819412999320775
usercpu_time_millis_testing
21.017520000896184
usercpu_time_millis_testing
22.55836999756866
usercpu_time_millis_testing
21.127201998751843
usercpu_time_millis_testing
21.449644002132118
usercpu_time_millis_testing
21.044302000518655
usercpu_time_millis_testing
21.292656998411985
usercpu_time_millis_training
15040.88244599916
usercpu_time_millis_training
14998.002788997837
usercpu_time_millis_training
14911.584870002116
usercpu_time_millis_training
15032.329852001567
usercpu_time_millis_training
14938.495485002932
usercpu_time_millis_training
15958.995225999388
usercpu_time_millis_training
15130.549258999963
usercpu_time_millis_training
15253.906381996785
usercpu_time_millis_training
14974.608562999492
usercpu_time_millis_training
14909.158268997999