5951342
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)
3986085
class_weight
null
6941
criterion
"gini"
6941
max_depth
5
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
15817
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
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.R"
6971
learning_rate
0.22642967701370215
6971
n_estimators
393
6971
random_state
12166
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
12826153
description
https://api.openml.org/data/download/12826153/description.xml
-1
12826154
predictions
https://api.openml.org/data/download/12826154/predictions.arff
area_under_roc_curve
0.9785441666666667 [1,0.970553,0.995561,0.992336,0.973578,0.994825,0.936017,0.992211,0.996606,0.933756]
average_cost
0
f_measure
0.7998158646255196 [0.982188,0.715447,0.913978,0.87234,0.802005,0.910995,0.481675,0.832891,0.953608,0.53303]
kappa
0.7711111111111112
kb_relative_information_score
1607.1263651807517
mean_absolute_error
0.054807440787117315
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8149076514772786 [1,0.60274,0.988372,0.931818,0.80402,0.956044,0.505495,0.887006,0.984043,0.48954]
predictive_accuracy
0.794
prior_entropy
3.321928094887362
recall
0.794 [0.965,0.88,0.85,0.82,0.8,0.87,0.46,0.785,0.925,0.585]
relative_absolute_error
0.30448578215064237
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16821175870894242
root_relative_squared_error
0.5607058623631328
total_cost
0
area_under_roc_curve
0.9766944444444445 [1,0.971944,0.992778,0.990278,0.969722,0.999722,0.924167,0.991389,0.996389,0.930556]
area_under_roc_curve
0.9762777777777779 [1,0.970556,0.998611,0.986111,0.9475,0.993333,0.936389,0.991111,0.993611,0.945556]
area_under_roc_curve
0.9771666666666667 [1,0.946667,1,0.986667,0.984444,0.996389,0.913611,0.987222,0.998611,0.958056]
area_under_roc_curve
0.9833888888888889 [1,0.979444,0.997778,0.998333,0.993333,0.994444,0.946111,0.995,0.9975,0.931944]
area_under_roc_curve
0.9801111111111112 [1,0.9675,0.998889,0.984444,0.9825,0.996944,0.947778,0.992222,1,0.930833]
area_under_roc_curve
0.9825277777777779 [1,0.969722,1,0.993333,0.986111,0.994444,0.953611,0.989444,0.991944,0.946667]
area_under_roc_curve
0.9860277777777777 [1,0.989167,0.9975,0.998333,0.983611,0.990833,0.967778,0.993333,1,0.939722]
area_under_roc_curve
0.9864166666666666 [1,0.976389,0.999167,0.998056,0.977222,0.998333,0.9575,0.997222,0.996667,0.963611]
area_under_roc_curve
0.976611111111111 [1,0.96,1,0.998611,0.970278,0.991389,0.936111,0.997222,1,0.9125]
area_under_roc_curve
0.9712777777777779 [1,0.990278,0.976389,0.998056,0.959444,0.9975,0.908611,0.991389,0.989444,0.901667]
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
0.7548850873367492 [0.974359,0.679245,0.918919,0.8,0.711111,0.947368,0.4,0.705882,0.923077,0.488889]
f_measure
0.7789241400658753 [1,0.705882,0.823529,0.923077,0.756757,0.878049,0.410256,0.820513,0.947368,0.52381]
f_measure
0.7825895748818565 [0.947368,0.627451,0.918919,0.777778,0.791667,0.888889,0.604651,0.742857,0.947368,0.578947]
f_measure
0.8199295997980208 [0.947368,0.791667,0.918919,0.952381,0.909091,0.857143,0.6,0.787879,0.95,0.484848]
f_measure
0.8083261887548734 [1,0.681818,0.888889,0.85,0.8,0.923077,0.482759,0.829268,1,0.627451]
f_measure
0.8241532928065435 [1,0.705882,0.974359,0.810811,0.8,0.95,0.636364,0.810811,0.974359,0.578947]
f_measure
0.8147484258600411 [1,0.791667,0.857143,0.947368,0.842105,0.918919,0.344828,0.9,1,0.545455]
f_measure
0.8284761219867603 [1,0.755556,0.95,0.923077,0.871795,0.923077,0.424242,0.952381,0.888889,0.595745]
f_measure
0.7890988198430182 [0.974359,0.693878,1,0.888889,0.722222,0.871795,0.333333,0.864865,0.97561,0.566038]
f_measure
0.765268577460528 [0.974359,0.730769,0.864865,0.823529,0.810811,0.947368,0.44,0.871795,0.918919,0.27027]
kappa
0.7222222222222222
kappa
0.75
kappa
0.75
kappa
0.7999999999999999
kappa
0.788888888888889
kappa
0.7999999999999999
kappa
0.7944444444444444
kappa
0.8111111111111111
kappa
0.7666666666666667
kappa
0.7277777777777777
kb_relative_information_score
157.09397576570967
kb_relative_information_score
157.59280236504506
kb_relative_information_score
156.0448264617288
kb_relative_information_score
162.78909203152142
kb_relative_information_score
159.2481636616785
kb_relative_information_score
165.14693303438568
kb_relative_information_score
166.22916065285062
kb_relative_information_score
165.24655882591173
kb_relative_information_score
162.69017202119218
kb_relative_information_score
155.04468036073254
mean_absolute_error
0.058255954440644686
mean_absolute_error
0.06058916659816747
mean_absolute_error
0.0589400276305534
mean_absolute_error
0.050816350351015324
mean_absolute_error
0.055481063636137744
mean_absolute_error
0.049430073818918646
mean_absolute_error
0.0492648712334861
mean_absolute_error
0.049908963322476525
mean_absolute_error
0.05435877807702786
mean_absolute_error
0.06102915876274613
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
0.7829965823650035 [1,0.545455,1,0.933333,0.64,1,0.466667,0.857143,0.947368,0.44]
precision
0.7971843745987358 [1,0.580645,1,0.947368,0.823529,0.857143,0.421053,0.842105,1,0.5]
precision
0.8112695629911619 [1,0.516129,1,0.875,0.678571,1,0.565217,0.866667,1,0.611111]
precision
0.8486380286380287 [1,0.678571,1,0.909091,0.833333,1,0.5,1,0.95,0.615385]
precision
0.8325799040612283 [1,0.625,1,0.85,0.8,0.947368,0.777778,0.809524,1,0.516129]
precision
0.8423128821421042 [1,0.580645,1,0.882353,0.933333,0.95,0.583333,0.882353,1,0.611111]
precision
0.8451587301587302 [1,0.678571,1,1,0.888889,1,0.555556,0.9,1,0.428571]
precision
0.8385544650281492 [1,0.68,0.95,0.947368,0.894737,0.947368,0.538462,0.909091,1,0.518519]
precision
0.8141546616171628 [1,0.586207,1,1,0.8125,0.894737,0.5,0.941176,0.952381,0.454545]
precision
0.7972800567595459 [1,0.59375,0.941176,1,0.882353,1,0.366667,0.894737,1,0.294118]
predictive_accuracy
0.75
predictive_accuracy
0.775
predictive_accuracy
0.775
predictive_accuracy
0.82
predictive_accuracy
0.81
predictive_accuracy
0.82
predictive_accuracy
0.815
predictive_accuracy
0.83
predictive_accuracy
0.79
predictive_accuracy
0.755
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
0.75 [0.95,0.9,0.85,0.7,0.8,0.9,0.35,0.6,0.9,0.55]
recall
0.775 [1,0.9,0.7,0.9,0.7,0.9,0.4,0.8,0.9,0.55]
recall
0.775 [0.9,0.8,0.85,0.7,0.95,0.8,0.65,0.65,0.9,0.55]
recall
0.82 [0.9,0.95,0.85,1,1,0.75,0.75,0.65,0.95,0.4]
recall
0.81 [1,0.75,0.8,0.85,0.8,0.9,0.35,0.85,1,0.8]
recall
0.82 [1,0.9,0.95,0.75,0.7,0.95,0.7,0.75,0.95,0.55]
recall
0.815 [1,0.95,0.75,0.9,0.8,0.85,0.25,0.9,1,0.75]
recall
0.83 [1,0.85,0.95,0.9,0.85,0.9,0.35,1,0.8,0.7]
recall
0.79 [0.95,0.85,1,0.8,0.65,0.85,0.25,0.8,1,0.75]
recall
0.755 [0.95,0.95,0.8,0.7,0.75,0.9,0.55,0.85,0.85,0.25]
relative_absolute_error
0.32364419133691524
relative_absolute_error
0.3366064811009308
relative_absolute_error
0.32744459794751923
relative_absolute_error
0.282313057505641
relative_absolute_error
0.3082281313118767
relative_absolute_error
0.274611521216215
relative_absolute_error
0.27369372907492306
relative_absolute_error
0.27727201845820326
relative_absolute_error
0.301993211539044
relative_absolute_error
0.3390508820152566
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
0.18135180344275287
root_mean_squared_error
0.1739847061273046
root_mean_squared_error
0.17800818411749694
root_mean_squared_error
0.16318427097915808
root_mean_squared_error
0.17072924169081852
root_mean_squared_error
0.1591800237498622
root_mean_squared_error
0.15640094405833282
root_mean_squared_error
0.15465818097129902
root_mean_squared_error
0.16127106712435132
root_mean_squared_error
0.1805582009468385
root_relative_squared_error
0.6045060114758433
root_relative_squared_error
0.579949020424349
root_relative_squared_error
0.5933606137249902
root_relative_squared_error
0.5439475699305273
root_relative_squared_error
0.5690974723027287
root_relative_squared_error
0.5306000791662077
root_relative_squared_error
0.5213364801944431
root_relative_squared_error
0.5155272699043304
root_relative_squared_error
0.5375702237478381
root_relative_squared_error
0.6018606698227953
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
32234.817380000004
usercpu_time_millis
32313.317559999992
usercpu_time_millis
32063.422618000004
usercpu_time_millis
31731.765392999987
usercpu_time_millis
32713.81954399999
usercpu_time_millis
32735.21148199995
usercpu_time_millis
32170.648531999974
usercpu_time_millis
32150.874968999997
usercpu_time_millis
31756.175458000027
usercpu_time_millis
31988.374094999985
usercpu_time_millis_testing
142.58658500000365
usercpu_time_millis_testing
134.0093599999932
usercpu_time_millis_testing
132.79068399999971
usercpu_time_millis_testing
201.4511040000002
usercpu_time_millis_testing
143.36546499998803
usercpu_time_millis_testing
134.1748679999739
usercpu_time_millis_testing
151.26052999997341
usercpu_time_millis_testing
141.60461599999508
usercpu_time_millis_testing
134.0262820000362
usercpu_time_millis_testing
132.67539399998896
usercpu_time_millis_training
32092.230795
usercpu_time_millis_training
32179.3082
usercpu_time_millis_training
31930.631934000005
usercpu_time_millis_training
31530.314288999987
usercpu_time_millis_training
32570.454079000003
usercpu_time_millis_training
32601.03661399998
usercpu_time_millis_training
32019.388002
usercpu_time_millis_training
32009.270353000004
usercpu_time_millis_training
31622.14917599999
usercpu_time_millis_training
31855.698700999994