5950042
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)
3984787
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
49719
6941
splitter
"best"
6941
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
false
6948
threshold
0.0
6949
algorithm
"SAMME"
6971
learning_rate
0.13810435502423826
6971
n_estimators
437
6971
random_state
17801
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
12823564
description
https://www.openml.org/data/download/12823564/description.xml
-1
12823565
predictions
https://www.openml.org/data/download/12823565/predictions.arff
area_under_roc_curve
0.9666577777777776 [0.998864,0.902539,0.991581,0.985122,0.946544,0.985592,0.940114,0.989553,0.989694,0.936975]
average_cost
0
f_measure
0.7990316555050487 [0.975124,0.781395,0.946565,0.895674,0.766355,0.872289,0.607069,0.7851,0.943299,0.417445]
kappa
0.78
kb_relative_information_score
12.758769898995904
mean_absolute_error
0.17970411322113486
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8103697496004351 [0.970297,0.730435,0.963731,0.911917,0.719298,0.84186,0.519573,0.919463,0.973404,0.553719]
predictive_accuracy
0.802
prior_entropy
3.321928094887362
recall
0.802 [0.98,0.84,0.93,0.88,0.82,0.905,0.73,0.685,0.915,0.335]
relative_absolute_error
0.9983561845618296
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.29950745195525125
root_relative_squared_error
0.9983581731841557
total_cost
0
area_under_roc_curve
0.9723333333333332 [0.997778,0.93,0.994444,0.995833,0.959722,0.996111,0.925556,0.987222,0.996111,0.940556]
area_under_roc_curve
0.9691111111111111 [0.9975,0.907778,0.995833,0.986667,0.950278,0.983056,0.941667,0.984167,0.993056,0.951111]
area_under_roc_curve
0.96525 [0.996944,0.908611,0.998333,0.981389,0.946389,0.979444,0.900278,0.985,0.998889,0.957222]
area_under_roc_curve
0.9726666666666667 [0.998333,0.898333,0.995556,0.995833,0.981389,0.985,0.954444,0.989722,0.994444,0.933611]
area_under_roc_curve
0.9617777777777777 [1,0.902222,0.973611,0.983611,0.916389,0.986667,0.959167,0.994722,0.985,0.916389]
area_under_roc_curve
0.9761111111111112 [1,0.939444,0.999444,0.986667,0.966389,0.987222,0.951111,0.994722,0.995278,0.940833]
area_under_roc_curve
0.9671666666666667 [0.999722,0.908889,0.995278,0.995,0.928333,0.977222,0.966389,0.988333,0.994722,0.917778]
area_under_roc_curve
0.96825 [1,0.881667,0.998056,0.988611,0.972778,0.995556,0.935,0.990278,0.965,0.955556]
area_under_roc_curve
0.9643055555555554 [1,0.8925,1,0.992222,0.926667,0.966389,0.937222,0.995556,0.999444,0.933056]
area_under_roc_curve
0.9596666666666668 [1,0.879167,0.977778,0.955833,0.948333,0.992778,0.930278,0.993333,0.9775,0.941667]
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
0.7723186479168639 [0.974359,0.772727,0.926829,0.923077,0.73913,0.95,0.333333,0.764706,0.9,0.439024]
f_measure
0.7401580087102312 [0.904762,0.829268,0.952381,0.777778,0.666667,0.8,0.644068,0.787879,0.864865,0.173913]
f_measure
0.795852072918124 [0.947368,0.829268,0.947368,0.810811,0.734694,0.809524,0.578947,0.705882,0.97561,0.619048]
f_measure
0.7987656504153418 [0.97561,0.744186,0.974359,0.926829,0.755556,0.857143,0.705882,0.645161,0.974359,0.428571]
f_measure
0.7806128186615992 [1,0.755556,0.918919,0.9,0.761905,0.809524,0.653846,0.8,0.97561,0.230769]
f_measure
0.8176649589165633 [1,0.85,1,0.926829,0.756757,0.863636,0.666667,0.842105,0.974359,0.296296]
f_measure
0.8280869498261058 [1,0.780488,0.918919,0.930233,0.85,0.904762,0.716981,0.820513,0.974359,0.384615]
f_measure
0.8212450871356147 [1,0.744186,0.923077,0.926829,0.837209,0.95,0.590909,0.864865,0.888889,0.486486]
f_measure
0.8193466893279158 [1,0.755556,1,0.95,0.761905,0.871795,0.595745,0.787879,1,0.470588]
f_measure
0.7797488416637353 [0.952381,0.765957,0.9,0.857143,0.809524,0.923077,0.468085,0.8,0.888889,0.432432]
kappa
0.75
kappa
0.7333333333333334
kappa
0.7722222222222223
kappa
0.788888888888889
kappa
0.7722222222222223
kappa
0.8111111111111111
kappa
0.8222222222222222
kappa
0.7999999999999999
kappa
0.7999999999999999
kappa
0.75
kb_relative_information_score
1.2974000209435295
kb_relative_information_score
1.2526057942521716
kb_relative_information_score
1.2448283380681924
kb_relative_information_score
1.2617092339053062
kb_relative_information_score
1.2680504369048118
kb_relative_information_score
1.2733917886958905
kb_relative_information_score
1.2902616041811217
kb_relative_information_score
1.2454899351098516
kb_relative_information_score
1.2985169575461044
kb_relative_information_score
1.3265157893889201
mean_absolute_error
0.17969860367058602
mean_absolute_error
0.17970920192875353
mean_absolute_error
0.17971198568846242
mean_absolute_error
0.17970710777904894
mean_absolute_error
0.1797062665330918
mean_absolute_error
0.17970433619813078
mean_absolute_error
0.17970088488302502
mean_absolute_error
0.17971090517226865
mean_absolute_error
0.17969944984689423
mean_absolute_error
0.17969239051108615
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
0.7796452670136881 [1,0.708333,0.904762,0.947368,0.653846,0.95,0.375,0.928571,0.9,0.428571]
precision
0.7908637343049107 [0.863636,0.809524,0.909091,0.875,0.636364,0.72,0.487179,1,0.941176,0.666667]
precision
0.8096837690143976 [1,0.809524,1,0.882353,0.62069,0.772727,0.611111,0.857143,0.952381,0.590909]
precision
0.829071291961895 [0.952381,0.695652,1,0.904762,0.68,0.818182,0.580645,0.909091,1,0.75]
precision
0.7996964285714284 [1,0.68,1,0.9,0.727273,0.772727,0.53125,0.933333,0.952381,0.5]
precision
0.835968720821662 [1,0.85,1,0.904762,0.823529,0.791667,0.529412,0.888889,1,0.571429]
precision
0.8596302515181234 [1,0.761905,1,0.869565,0.85,0.863636,0.575758,0.842105,1,0.833333]
precision
0.8292646097340538 [1,0.695652,0.947368,0.904762,0.782609,0.95,0.541667,0.941176,1,0.529412]
precision
0.8341956659325079 [1,0.68,1,0.95,0.727273,0.894737,0.518519,1,1,0.571429]
precision
0.8007182245572337 [0.909091,0.666667,0.9,1,0.772727,0.947368,0.407407,0.933333,1,0.470588]
predictive_accuracy
0.775
predictive_accuracy
0.76
predictive_accuracy
0.795
predictive_accuracy
0.81
predictive_accuracy
0.795
predictive_accuracy
0.83
predictive_accuracy
0.84
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.775
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
0.775 [0.95,0.85,0.95,0.9,0.85,0.95,0.3,0.65,0.9,0.45]
recall
0.76 [0.95,0.85,1,0.7,0.7,0.9,0.95,0.65,0.8,0.1]
recall
0.795 [0.9,0.85,0.9,0.75,0.9,0.85,0.55,0.6,1,0.65]
recall
0.81 [1,0.8,0.95,0.95,0.85,0.9,0.9,0.5,0.95,0.3]
recall
0.795 [1,0.85,0.85,0.9,0.8,0.85,0.85,0.7,1,0.15]
recall
0.83 [1,0.85,1,0.95,0.7,0.95,0.9,0.8,0.95,0.2]
recall
0.84 [1,0.8,0.85,1,0.85,0.95,0.95,0.8,0.95,0.25]
recall
0.82 [1,0.8,0.9,0.95,0.9,0.95,0.65,0.8,0.8,0.45]
recall
0.82 [1,0.85,1,0.95,0.8,0.85,0.7,0.65,1,0.4]
recall
0.775 [1,0.9,0.9,0.75,0.85,0.9,0.55,0.7,0.8,0.4]
relative_absolute_error
0.9983255759477012
relative_absolute_error
0.998384455159743
relative_absolute_error
0.9983999204914589
relative_absolute_error
0.9983728209947175
relative_absolute_error
0.9983681474060666
relative_absolute_error
0.99835742332295
relative_absolute_error
0.99833824935014
relative_absolute_error
0.9983939176237159
relative_absolute_error
0.9983302769271912
relative_absolute_error
0.9982910583949243
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
0.299498256512361
root_mean_squared_error
0.2995159024898969
root_mean_squared_error
0.29952062673164026
root_mean_squared_error
0.29951243326668603
root_mean_squared_error
0.29951106723135956
root_mean_squared_error
0.2995077763473992
root_mean_squared_error
0.29950206000126595
root_mean_squared_error
0.29951873833064246
root_mean_squared_error
0.2994996987084007
root_mean_squared_error
0.29948795832338143
root_relative_squared_error
0.9983275217078706
root_relative_squared_error
0.9983863416329902
root_relative_squared_error
0.998402089105468
root_relative_squared_error
0.9983747775556207
root_relative_squared_error
0.9983702241045325
root_relative_squared_error
0.9983592544913313
root_relative_squared_error
0.9983402000042204
root_relative_squared_error
0.9983957944354755
root_relative_squared_error
0.998332329028003
root_relative_squared_error
0.998293194411272
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
21122.359503
usercpu_time_millis
21352.00085
usercpu_time_millis
21432.063220000004
usercpu_time_millis
24330.862645999983
usercpu_time_millis
23660.40224400001
usercpu_time_millis
22527.135638999993
usercpu_time_millis
22149.784245000006
usercpu_time_millis
20400.690386999995
usercpu_time_millis
20842.86870700001
usercpu_time_millis
22584.904681000015
usercpu_time_millis_testing
83.65708499999869
usercpu_time_millis_testing
60.00450199999818
usercpu_time_millis_testing
59.636146000002555
usercpu_time_millis_testing
59.064786999996954
usercpu_time_millis_testing
58.81046200001094
usercpu_time_millis_testing
83.00446999999167
usercpu_time_millis_testing
59.11122999998497
usercpu_time_millis_testing
58.767455000008795
usercpu_time_millis_testing
66.24292399999376
usercpu_time_millis_testing
59.07216100001733
usercpu_time_millis_training
21038.702418
usercpu_time_millis_training
21291.996348
usercpu_time_millis_training
21372.427074
usercpu_time_millis_training
24271.797858999988
usercpu_time_millis_training
23601.591782
usercpu_time_millis_training
22444.131169
usercpu_time_millis_training
22090.673015000022
usercpu_time_millis_training
20341.922931999987
usercpu_time_millis_training
20776.625783000014
usercpu_time_millis_training
22525.832519999996