8910942
1935
Hilde Weerts
14
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6848203
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
bootstrap
true
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.6570000593742624
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
18
7684
min_samples_split
19
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18737570
description
https://api.openml.org/data/download/18737570/description.xml
-1
18737571
predictions
https://api.openml.org/data/download/18737571/predictions.arff
area_under_roc_curve
0.975741388888889 [0.999797,0.962769,0.993008,0.979903,0.96335,0.991031,0.938567,0.991239,0.9949,0.94285]
average_cost
0
f_measure
0.7830777096510227 [0.946602,0.738693,0.930348,0.852041,0.698925,0.851385,0.493766,0.865882,0.936061,0.517073]
kappa
0.7594444444444444
kb_relative_information_score
1482.0275095058855
mean_absolute_error
0.07285627154555195
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7844643957114584 [0.919811,0.742424,0.925743,0.869792,0.755814,0.857868,0.492537,0.817778,0.958115,0.504762]
predictive_accuracy
0.7835
prior_entropy
3.321928094887362
recall
0.7835 [0.975,0.735,0.935,0.835,0.65,0.845,0.495,0.92,0.915,0.53]
relative_absolute_error
0.40475706414194285
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17358035654052142
root_relative_squared_error
0.5786011884683958
total_cost
0
area_under_roc_curve
0.9744722222222222 [0.999722,0.958611,0.990556,0.995,0.953333,0.999444,0.92,0.992778,0.986667,0.948611]
area_under_roc_curve
0.9770555555555555 [0.998889,0.97,0.991111,0.981111,0.948056,0.987778,0.954444,0.988889,0.9975,0.952778]
area_under_roc_curve
0.9721388888888889 [1,0.973333,0.999167,0.953889,0.95,0.991389,0.918056,0.991389,1,0.944167]
area_under_roc_curve
0.9805277777777779 [1,0.958611,0.994167,0.987222,0.984722,0.991944,0.965278,0.993611,0.998889,0.930833]
area_under_roc_curve
0.9796944444444445 [1,0.959444,0.998056,0.991389,0.98,0.992778,0.9475,0.991944,0.997778,0.938056]
area_under_roc_curve
0.9781666666666665 [0.999722,0.956111,0.999167,0.983333,0.986111,0.988333,0.935833,0.991944,0.995833,0.945278]
area_under_roc_curve
0.9783888888888889 [0.998611,0.9725,0.9925,0.985,0.980556,0.981111,0.964444,0.985833,0.999444,0.923889]
area_under_roc_curve
0.9758611111111111 [1,0.955278,0.998056,0.963611,0.95,0.995,0.950278,0.994444,0.984167,0.967778]
area_under_roc_curve
0.9768611111111111 [1,0.955,0.999444,0.996944,0.971389,0.986667,0.924444,0.994444,1,0.940278]
area_under_roc_curve
0.9676111111111111 [1,0.974444,0.973333,0.963611,0.936389,0.996111,0.907222,0.994167,0.991389,0.939444]
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
0.7816669644718424 [0.95,0.755556,0.926829,0.857143,0.731707,0.974359,0.358974,0.9,0.923077,0.439024]
f_measure
0.744726176715291 [0.95,0.769231,0.871795,0.8,0.555556,0.75,0.432432,0.790698,0.974359,0.553191]
f_measure
0.7679903799165225 [0.974359,0.697674,0.974359,0.702703,0.631579,0.8,0.5,0.789474,0.97561,0.634146]
f_measure
0.7898769247312529 [0.97561,0.684211,0.95,0.904762,0.695652,0.789474,0.594595,0.820513,0.947368,0.536585]
f_measure
0.7564161015327505 [0.97561,0.611111,0.871795,0.904762,0.606061,0.844444,0.487805,0.826087,0.95,0.486486]
f_measure
0.7785300810383653 [0.952381,0.717949,0.952381,0.789474,0.717949,0.878049,0.52381,0.930233,0.923077,0.4]
f_measure
0.7936829061026751 [0.863636,0.8,0.894737,0.829268,0.787879,0.829268,0.594595,0.863636,0.95,0.52381]
f_measure
0.7985179976309033 [0.930233,0.731707,0.97561,0.871795,0.685714,0.864865,0.55,0.909091,0.894737,0.571429]
f_measure
0.8235092392324382 [0.974359,0.8,0.952381,0.952381,0.8,0.871795,0.461538,0.888889,0.97561,0.55814]
f_measure
0.7899205947702828 [0.930233,0.809524,0.926829,0.888889,0.777778,0.918919,0.444444,0.930233,0.833333,0.439024]
kappa
0.7555555555555555
kappa
0.7166666666666667
kappa
0.7388888888888889
kappa
0.7666666666666667
kappa
0.7388888888888889
kappa
0.7611111111111112
kappa
0.7722222222222223
kappa
0.7777777777777778
kappa
0.8055555555555555
kappa
0.7611111111111112
kb_relative_information_score
146.49938256588902
kb_relative_information_score
146.42843271712098
kb_relative_information_score
146.93858911331426
kb_relative_information_score
149.52995892123587
kb_relative_information_score
149.4226572818338
kb_relative_information_score
149.5124699932736
kb_relative_information_score
148.27900035215546
kb_relative_information_score
148.58635326785767
kb_relative_information_score
151.20498156745558
kb_relative_information_score
145.62568372575163
mean_absolute_error
0.07516139839712113
mean_absolute_error
0.07293143902082021
mean_absolute_error
0.07405081711736276
mean_absolute_error
0.07149894612340327
mean_absolute_error
0.0721313950210471
mean_absolute_error
0.07132289116739657
mean_absolute_error
0.07379562653170306
mean_absolute_error
0.07247479697752038
mean_absolute_error
0.07021078340716498
mean_absolute_error
0.07498462169198086
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
0.7893408521303259 [0.95,0.68,0.904762,1,0.714286,1,0.368421,0.9,0.947368,0.428571]
precision
0.7500410677873997 [0.95,0.789474,0.894737,0.8,0.625,0.75,0.470588,0.73913,1,0.481481]
precision
0.7746641700158324 [1,0.652174,1,0.764706,0.666667,0.8,0.458333,0.833333,0.952381,0.619048]
precision
0.7949931097454318 [0.952381,0.722222,0.95,0.863636,0.615385,0.833333,0.647059,0.842105,1,0.52381]
precision
0.7613856399018938 [0.952381,0.6875,0.894737,0.863636,0.769231,0.76,0.47619,0.730769,0.95,0.529412]
precision
0.7765942524294926 [0.909091,0.736842,0.909091,0.833333,0.736842,0.857143,0.5,0.869565,0.947368,0.466667]
precision
0.8043884220354808 [0.791667,0.8,0.944444,0.809524,1,0.809524,0.647059,0.791667,0.95,0.5]
precision
0.8045377519983792 [0.869565,0.714286,0.952381,0.894737,0.8,0.941176,0.55,0.833333,0.944444,0.545455]
precision
0.8327389620295799 [1,0.933333,0.909091,0.909091,0.933333,0.894737,0.473684,0.8,0.952381,0.521739]
precision
0.8057691040843216 [0.869565,0.772727,0.904762,1,0.875,1,0.4,0.869565,0.9375,0.428571]
predictive_accuracy
0.78
predictive_accuracy
0.745
predictive_accuracy
0.765
predictive_accuracy
0.79
predictive_accuracy
0.765
predictive_accuracy
0.785
predictive_accuracy
0.795
predictive_accuracy
0.8
predictive_accuracy
0.825
predictive_accuracy
0.785
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
0.78 [0.95,0.85,0.95,0.75,0.75,0.95,0.35,0.9,0.9,0.45]
recall
0.745 [0.95,0.75,0.85,0.8,0.5,0.75,0.4,0.85,0.95,0.65]
recall
0.765 [0.95,0.75,0.95,0.65,0.6,0.8,0.55,0.75,1,0.65]
recall
0.79 [1,0.65,0.95,0.95,0.8,0.75,0.55,0.8,0.9,0.55]
recall
0.765 [1,0.55,0.85,0.95,0.5,0.95,0.5,0.95,0.95,0.45]
recall
0.785 [1,0.7,1,0.75,0.7,0.9,0.55,1,0.9,0.35]
recall
0.795 [0.95,0.8,0.85,0.85,0.65,0.85,0.55,0.95,0.95,0.55]
recall
0.8 [1,0.75,1,0.85,0.6,0.8,0.55,1,0.85,0.6]
recall
0.825 [0.95,0.7,1,1,0.7,0.85,0.45,1,1,0.6]
recall
0.785 [1,0.85,0.95,0.8,0.7,0.85,0.5,1,0.75,0.45]
relative_absolute_error
0.41756332442845123
relative_absolute_error
0.40517466122677936
relative_absolute_error
0.4113934284297936
relative_absolute_error
0.3972163673522408
relative_absolute_error
0.400729972339151
relative_absolute_error
0.3962382842633147
relative_absolute_error
0.4099757029539064
relative_absolute_error
0.4026377609862248
relative_absolute_error
0.39005990781758365
relative_absolute_error
0.41658123162211635
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
0.1773933726641273
root_mean_squared_error
0.178503323019054
root_mean_squared_error
0.17563440741259417
root_mean_squared_error
0.17032608711105254
root_mean_squared_error
0.17182646579373553
root_mean_squared_error
0.17046967116517134
root_mean_squared_error
0.1742339245591929
root_mean_squared_error
0.1714232937861584
root_mean_squared_error
0.16771617841420602
root_mean_squared_error
0.17791787431178566
root_relative_squared_error
0.591311242213758
root_relative_squared_error
0.5950110767301804
root_relative_squared_error
0.5854480247086475
root_relative_squared_error
0.5677536237035088
root_relative_squared_error
0.5727548859791188
root_relative_squared_error
0.5682322372172381
root_relative_squared_error
0.5807797485306434
root_relative_squared_error
0.5714109792871951
root_relative_squared_error
0.5590539280473538
root_relative_squared_error
0.5930595810392859
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
24892.590541999994
usercpu_time_millis
24870.634388999977
usercpu_time_millis
24701.690741999984
usercpu_time_millis
24689.617086
usercpu_time_millis
24763.749157000122
usercpu_time_millis
24452.371587000016
usercpu_time_millis
24526.129856000014
usercpu_time_millis
24379.345877999982
usercpu_time_millis
24270.415866999996
usercpu_time_millis
24368.791386999987
usercpu_time_millis_testing
87.07638699991094
usercpu_time_millis_testing
87.97700699994948
usercpu_time_millis_testing
84.25892699995075
usercpu_time_millis_testing
84.47302900003706
usercpu_time_millis_testing
85.51217500007624
usercpu_time_millis_testing
83.02334100005737
usercpu_time_millis_testing
86.0634680000203
usercpu_time_millis_testing
84.30108200002451
usercpu_time_millis_testing
85.44549700002335
usercpu_time_millis_testing
85.2530619999925
usercpu_time_millis_training
24805.514155000084
usercpu_time_millis_training
24782.657382000027
usercpu_time_millis_training
24617.431815000033
usercpu_time_millis_training
24605.14405699996
usercpu_time_millis_training
24678.236982000046
usercpu_time_millis_training
24369.348245999958
usercpu_time_millis_training
24440.066387999992
usercpu_time_millis_training
24295.04479599996
usercpu_time_millis_training
24184.970369999974
usercpu_time_millis_training
24283.538324999994