8917002
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)
6854005
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
false
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.12120286729941032
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
11
7684
min_samples_split
17
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
18749634
description
https://api.openml.org/data/download/18749634/description.xml
-1
18749635
predictions
https://api.openml.org/data/download/18749635/predictions.arff
area_under_roc_curve
0.9826522222222223 [1,0.977269,0.997414,0.994367,0.978858,0.994306,0.946428,0.992694,0.998622,0.946564]
average_cost
0
f_measure
0.8284424961212894 [0.997494,0.795918,0.942928,0.910448,0.823834,0.904645,0.526042,0.874704,0.972431,0.53598]
kappa
0.8111111111111111
kb_relative_information_score
1468.1841487481897
mean_absolute_error
0.07863374671013441
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8279810891311771 [1,0.8125,0.935961,0.905941,0.854839,0.885167,0.548913,0.829596,0.974874,0.53202]
predictive_accuracy
0.83
prior_entropy
3.321928094887362
recall
0.83 [0.995,0.78,0.95,0.915,0.795,0.925,0.505,0.925,0.97,0.54]
relative_absolute_error
0.43685414838962217
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17004633971428362
root_relative_squared_error
0.5668211323809367
total_cost
0
area_under_roc_curve
0.9803055555555555 [1,0.978611,0.995278,0.995833,0.966944,1,0.914444,0.993056,0.999444,0.959444]
area_under_roc_curve
0.9796388888888888 [1,0.969444,0.996111,0.986111,0.964444,0.992778,0.950278,0.989167,0.995833,0.952222]
area_under_roc_curve
0.9818611111111113 [1,0.980556,1,0.991111,0.988056,0.994167,0.923889,0.991667,1,0.949167]
area_under_roc_curve
0.98775 [1,0.984167,0.997222,0.997778,0.993333,0.994722,0.973889,0.994444,0.997778,0.944167]
area_under_roc_curve
0.9833888888888888 [1,0.970556,0.998333,0.993333,0.9925,0.994167,0.952222,0.994167,1,0.938611]
area_under_roc_curve
0.9847777777777778 [1,0.9775,1,0.994722,0.9925,0.995278,0.945556,0.994722,0.999722,0.947778]
area_under_roc_curve
0.9836111111111111 [1,0.977778,0.994722,0.997778,0.979722,0.982778,0.973611,0.989722,1,0.94]
area_under_roc_curve
0.9861666666666667 [1,0.9775,0.998611,0.9975,0.970278,0.9975,0.960556,0.995278,0.998889,0.965556]
area_under_roc_curve
0.9824722222222222 [1,0.980556,1,0.998056,0.982778,0.990278,0.943056,0.996111,1,0.933889]
area_under_roc_curve
0.9790555555555556 [1,0.984444,0.990556,0.998889,0.956944,0.999722,0.932222,0.993056,0.993333,0.941389]
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
0.8070565942302217 [0.974359,0.85,0.883721,0.947368,0.857143,1,0.285714,0.842105,0.97561,0.454545]
f_measure
0.7877321754945124 [1,0.777778,0.926829,0.878049,0.666667,0.809524,0.5,0.790698,0.95,0.577778]
f_measure
0.8136911227411869 [1,0.731707,0.974359,0.780488,0.829268,0.9,0.473684,0.871795,0.97561,0.6]
f_measure
0.8549906191369607 [1,0.769231,0.974359,0.926829,0.8,0.9,0.717949,0.871795,0.974359,0.615385]
f_measure
0.8053655259565727 [1,0.666667,0.947368,0.878049,0.810811,0.888889,0.540541,0.808511,1,0.512821]
f_measure
0.863093985025949 [1,0.9,0.97561,0.894737,0.871795,0.926829,0.619048,0.952381,0.95,0.540541]
f_measure
0.8271807494189131 [1,0.780488,0.923077,0.926829,0.823529,0.857143,0.585366,0.888889,1,0.486486]
f_measure
0.8532440336612352 [1,0.8,0.97561,0.952381,0.810811,0.871795,0.615385,0.909091,0.947368,0.65]
f_measure
0.863731044087046 [1,0.842105,1,0.97561,0.894737,0.95,0.486486,0.930233,1,0.55814]
f_measure
0.8041339724950197 [1,0.829268,0.857143,0.947368,0.864865,0.95,0.4,0.883721,0.95,0.358974]
kappa
0.788888888888889
kappa
0.7666666666666667
kappa
0.7944444444444444
kappa
0.8388888888888889
kappa
0.788888888888889
kappa
0.85
kappa
0.8111111111111111
kappa
0.8388888888888889
kappa
0.85
kappa
0.7833333333333334
kb_relative_information_score
145.5373603913133
kb_relative_information_score
146.6478643187513
kb_relative_information_score
145.04739435583843
kb_relative_information_score
147.96563327607385
kb_relative_information_score
144.82942535107654
kb_relative_information_score
149.04338555558522
kb_relative_information_score
147.61185072885732
kb_relative_information_score
148.52422117204384
kb_relative_information_score
149.68868105408467
kb_relative_information_score
143.2883325445673
mean_absolute_error
0.08054367636742348
mean_absolute_error
0.07813022780378376
mean_absolute_error
0.08046812923844306
mean_absolute_error
0.07777272566303664
mean_absolute_error
0.08020912702722112
mean_absolute_error
0.07665873922788598
mean_absolute_error
0.0779860414600449
mean_absolute_error
0.07803610257446375
mean_absolute_error
0.0758976652473
mean_absolute_error
0.08063503249174284
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
0.8085538615973398 [1,0.85,0.826087,1,0.818182,1,0.333333,0.888889,0.952381,0.416667]
precision
0.7931262469414644 [1,0.875,0.904762,0.857143,0.75,0.772727,0.5625,0.73913,0.95,0.52]
precision
0.81328320802005 [1,0.714286,1,0.761905,0.809524,0.9,0.5,0.894737,0.952381,0.6]
precision
0.8577393483709272 [1,0.789474,1,0.904762,0.72,0.9,0.736842,0.894737,1,0.631579]
precision
0.8107750585614362 [1,0.75,1,0.857143,0.882353,0.8,0.588235,0.703704,1,0.526316]
precision
0.8634559437810211 [1,0.9,0.952381,0.944444,0.894737,0.904762,0.590909,0.909091,0.95,0.588235]
precision
0.8333057242035571 [1,0.761905,0.947368,0.904762,1,0.818182,0.571429,0.8,1,0.529412]
precision
0.855347392545535 [1,0.8,0.952381,0.909091,0.882353,0.894737,0.631579,0.833333,1,0.65]
precision
0.8656430398246254 [1,0.888889,1,0.952381,0.944444,0.95,0.529412,0.869565,1,0.521739]
precision
0.806339010744718 [1,0.809524,0.818182,1,0.941176,0.95,0.4,0.826087,0.95,0.368421]
predictive_accuracy
0.81
predictive_accuracy
0.79
predictive_accuracy
0.815
predictive_accuracy
0.855
predictive_accuracy
0.81
predictive_accuracy
0.865
predictive_accuracy
0.83
predictive_accuracy
0.855
predictive_accuracy
0.865
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
0.81 [0.95,0.85,0.95,0.9,0.9,1,0.25,0.8,1,0.5]
recall
0.79 [1,0.7,0.95,0.9,0.6,0.85,0.45,0.85,0.95,0.65]
recall
0.815 [1,0.75,0.95,0.8,0.85,0.9,0.45,0.85,1,0.6]
recall
0.855 [1,0.75,0.95,0.95,0.9,0.9,0.7,0.85,0.95,0.6]
recall
0.81 [1,0.6,0.9,0.9,0.75,1,0.5,0.95,1,0.5]
recall
0.865 [1,0.9,1,0.85,0.85,0.95,0.65,1,0.95,0.5]
recall
0.83 [1,0.8,0.9,0.95,0.7,0.9,0.6,1,1,0.45]
recall
0.855 [1,0.8,1,1,0.75,0.85,0.6,1,0.9,0.65]
recall
0.865 [1,0.8,1,1,0.85,0.95,0.45,1,1,0.6]
recall
0.805 [1,0.85,0.9,0.9,0.8,0.95,0.4,0.95,0.95,0.35]
relative_absolute_error
0.4474648687079087
relative_absolute_error
0.43405682113213245
relative_absolute_error
0.4470451624357953
relative_absolute_error
0.4320706981279818
relative_absolute_error
0.44560626126234004
relative_absolute_error
0.42588188459936704
relative_absolute_error
0.43325578588913877
relative_absolute_error
0.4335339031914658
relative_absolute_error
0.42165369581833384
relative_absolute_error
0.4479724027319052
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
0.17324235802573928
root_mean_squared_error
0.17338267502470106
root_mean_squared_error
0.1725565788802884
root_mean_squared_error
0.16630932475707844
root_mean_squared_error
0.17402129596270302
root_mean_squared_error
0.16441308800821522
root_mean_squared_error
0.16876707028258253
root_mean_squared_error
0.16759264782445568
root_mean_squared_error
0.1636681380607722
root_mean_squared_error
0.17600168034253955
root_relative_squared_error
0.5774745267524646
root_relative_squared_error
0.5779422500823372
root_relative_squared_error
0.5751885962676284
root_relative_squared_error
0.5543644158569285
root_relative_squared_error
0.5800709865423438
root_relative_squared_error
0.548043626694051
root_relative_squared_error
0.5625569009419421
root_relative_squared_error
0.5586421594148526
root_relative_squared_error
0.5455604602025744
root_relative_squared_error
0.5866722678084655
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
11503.642481002316
usercpu_time_millis
11497.836094000377
usercpu_time_millis
11470.710759989743
usercpu_time_millis
11471.413475999725
usercpu_time_millis
11379.4104730041
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
11457.38138199522
usercpu_time_millis
11525.426702995901
usercpu_time_millis
11501.655260995904
usercpu_time_millis_testing
97.33187899837503
usercpu_time_millis_testing
93.19763499661349
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
94.47014799661702
usercpu_time_millis_testing
94.70287300064228
usercpu_time_millis_testing
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usercpu_time_millis_testing
100.88237399759237
usercpu_time_millis_testing
97.50022599473596
usercpu_time_millis_training
11406.310602003941
usercpu_time_millis_training
11404.638459003763
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
11440.001950002625
usercpu_time_millis_training
11336.686544003896
usercpu_time_millis_training
11359.97918999783
usercpu_time_millis_training
11424.544328998309
usercpu_time_millis_training
11404.155035001168