8926079
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)
6862929
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
"entropy"
7684
max_depth
null
7684
max_features
0.69734653221081
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
16
7684
min_samples_split
20
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
18767724
description
https://api.openml.org/data/download/18767724/description.xml
-1
18767725
predictions
https://api.openml.org/data/download/18767725/predictions.arff
area_under_roc_curve
0.9783302777777777 [0.999831,0.966733,0.994083,0.983261,0.970772,0.988383,0.944658,0.990856,0.996789,0.947936]
average_cost
0
f_measure
0.7947059048143569 [0.972705,0.727273,0.908189,0.856397,0.736842,0.867647,0.534005,0.855172,0.934673,0.554156]
kappa
0.7733333333333334
kb_relative_information_score
1521.0048781925352
mean_absolute_error
0.06844481854096005
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7953933132673623 [0.965517,0.734694,0.901478,0.896175,0.777778,0.850962,0.538071,0.791489,0.939394,0.558376]
predictive_accuracy
0.7959999999999999
prior_entropy
3.321928094887362
recall
0.796 [0.98,0.72,0.915,0.82,0.7,0.885,0.53,0.93,0.93,0.55]
relative_absolute_error
0.3802489918942108
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1687552626714489
root_relative_squared_error
0.5625175422381544
total_cost
0
area_under_roc_curve
0.9765833333333334 [1,0.966944,0.991667,0.994167,0.954444,1,0.924444,0.9925,0.991667,0.95]
area_under_roc_curve
0.9787222222222222 [1,0.978333,0.9925,0.981111,0.955278,0.985556,0.956111,0.988611,0.998333,0.951389]
area_under_roc_curve
0.9750277777777778 [1,0.966389,0.998333,0.964444,0.968333,0.990833,0.928611,0.988056,1,0.945278]
area_under_roc_curve
0.9826666666666667 [0.999167,0.966667,0.994167,0.991111,0.986944,0.992222,0.967222,0.996111,0.999167,0.933889]
area_under_roc_curve
0.9808333333333333 [1,0.966111,0.995556,0.991944,0.981944,0.992222,0.956389,0.989444,0.999444,0.935278]
area_under_roc_curve
0.9801666666666669 [1,0.960556,0.999167,0.983056,0.987778,0.981111,0.946111,0.991389,0.998056,0.954444]
area_under_roc_curve
0.9829166666666665 [0.999444,0.973889,0.993889,0.99,0.989167,0.978889,0.976944,0.986667,1,0.940278]
area_under_roc_curve
0.9800277777777776 [1,0.960278,0.998889,0.978056,0.970278,0.992778,0.948889,0.993889,0.986667,0.970556]
area_under_roc_curve
0.979972222222222 [1,0.964722,0.999444,0.996389,0.983333,0.977778,0.935833,0.994167,1,0.948056]
area_under_roc_curve
0.9733611111111112 [1,0.966944,0.985556,0.973333,0.946389,0.998056,0.917222,0.993889,0.996111,0.956111]
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
0.7749864015717673 [0.97561,0.755556,0.9,0.864865,0.731707,0.974359,0.324324,0.871795,0.923077,0.428571]
f_measure
0.7779119680436216 [1,0.789474,0.864865,0.8,0.611111,0.837209,0.540541,0.818182,0.926829,0.590909]
f_measure
0.761727489583417 [1,0.651163,0.918919,0.722222,0.666667,0.809524,0.487805,0.8,0.97561,0.585366]
f_measure
0.808446008324057 [0.95,0.756757,0.926829,0.904762,0.75,0.833333,0.634146,0.85,0.923077,0.555556]
f_measure
0.7659764924027703 [0.97561,0.647059,0.9,0.878049,0.685714,0.837209,0.540541,0.791667,0.930233,0.473684]
f_measure
0.8268943183139362 [1,0.711111,0.926829,0.857143,0.705882,0.863636,0.684211,0.909091,0.926829,0.684211]
f_measure
0.8337213099344036 [0.974359,0.736842,0.9,0.894737,0.864865,0.844444,0.682927,0.844444,1,0.594595]
f_measure
0.7950427044072744 [0.95,0.761905,0.97561,0.842105,0.666667,0.789474,0.545455,0.909091,0.894737,0.615385]
f_measure
0.8105595488522317 [0.95,0.727273,0.926829,0.926829,0.85,0.923077,0.444444,0.833333,1,0.52381]
f_measure
0.7891574293082416 [0.952381,0.731707,0.844444,0.857143,0.823529,0.974359,0.444444,0.930233,0.833333,0.5]
kappa
0.75
kappa
0.7555555555555555
kappa
0.7333333333333334
kappa
0.788888888888889
kappa
0.75
kappa
0.8111111111111111
kappa
0.8166666666666667
kappa
0.7722222222222223
kappa
0.7944444444444444
kappa
0.7611111111111112
kb_relative_information_score
152.21109052567664
kb_relative_information_score
150.47489405156304
kb_relative_information_score
148.93126504215942
kb_relative_information_score
152.8715875902218
kb_relative_information_score
151.68917808055684
kb_relative_information_score
154.1908749602284
kb_relative_information_score
153.30336718613373
kb_relative_information_score
151.83692564016735
kb_relative_information_score
155.4209897844745
kb_relative_information_score
150.074705331354
mean_absolute_error
0.06886591919217594
mean_absolute_error
0.06957090892615234
mean_absolute_error
0.07186012194660216
mean_absolute_error
0.06749868789897054
mean_absolute_error
0.06821543360437164
mean_absolute_error
0.06622192391577462
mean_absolute_error
0.06785833585751751
mean_absolute_error
0.06883393958244145
mean_absolute_error
0.06558679885744674
mean_absolute_error
0.06993611562814762
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
0.7791980485974296 [0.952381,0.68,0.9,0.941176,0.714286,1,0.352941,0.894737,0.947368,0.409091]
precision
0.7829282365119963 [1,0.833333,0.941176,0.8,0.6875,0.782609,0.588235,0.75,0.904762,0.541667]
precision
0.7678133451216975 [1,0.608696,1,0.8125,0.684211,0.772727,0.47619,0.8,0.952381,0.571429]
precision
0.8163700863120367 [0.95,0.823529,0.904762,0.863636,0.642857,0.9375,0.619048,0.85,0.947368,0.625]
precision
0.7714218730970649 [0.952381,0.785714,0.9,0.857143,0.8,0.782609,0.588235,0.678571,0.869565,0.5]
precision
0.8376111111111111 [1,0.64,0.904762,1,0.857143,0.791667,0.722222,0.833333,0.904762,0.722222]
precision
0.8397124183006536 [1,0.777778,0.9,0.944444,0.941176,0.76,0.666667,0.76,1,0.647059]
precision
0.80112326270221 [0.95,0.727273,0.952381,0.888889,0.75,0.833333,0.5,0.833333,0.944444,0.631579]
precision
0.8194254867939078 [0.95,0.923077,0.904762,0.904762,0.85,0.947368,0.5,0.714286,1,0.5]
precision
0.8090441840767927 [0.909091,0.714286,0.76,1,1,1,0.4,0.869565,0.9375,0.5]
predictive_accuracy
0.775
predictive_accuracy
0.78
predictive_accuracy
0.76
predictive_accuracy
0.81
predictive_accuracy
0.775
predictive_accuracy
0.83
predictive_accuracy
0.835
predictive_accuracy
0.795
predictive_accuracy
0.815
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
0.775 [1,0.85,0.9,0.8,0.75,0.95,0.3,0.85,0.9,0.45]
recall
0.78 [1,0.75,0.8,0.8,0.55,0.9,0.5,0.9,0.95,0.65]
recall
0.76 [1,0.7,0.85,0.65,0.65,0.85,0.5,0.8,1,0.6]
recall
0.81 [0.95,0.7,0.95,0.95,0.9,0.75,0.65,0.85,0.9,0.5]
recall
0.775 [1,0.55,0.9,0.9,0.6,0.9,0.5,0.95,1,0.45]
recall
0.83 [1,0.8,0.95,0.75,0.6,0.95,0.65,1,0.95,0.65]
recall
0.835 [0.95,0.7,0.9,0.85,0.8,0.95,0.7,0.95,1,0.55]
recall
0.795 [0.95,0.8,1,0.8,0.6,0.75,0.6,1,0.85,0.6]
recall
0.815 [0.95,0.6,0.95,0.95,0.85,0.9,0.4,1,1,0.55]
recall
0.785 [1,0.75,0.95,0.75,0.7,0.95,0.5,1,0.75,0.5]
relative_absolute_error
0.3825884399565334
relative_absolute_error
0.38650504958973564
relative_absolute_error
0.39922289970334573
relative_absolute_error
0.37499271054983674
relative_absolute_error
0.3789746311353984
relative_absolute_error
0.3678995773098594
relative_absolute_error
0.3769907547639865
relative_absolute_error
0.3824107754580085
relative_absolute_error
0.36437110476359336
relative_absolute_error
0.3885339757119317
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
0.17010460777295944
root_mean_squared_error
0.17449644820589857
root_mean_squared_error
0.17443732847468754
root_mean_squared_error
0.16582814416220207
root_mean_squared_error
0.16960513498519236
root_mean_squared_error
0.16305942802101542
root_mean_squared_error
0.1661127968567972
root_mean_squared_error
0.16900669068597346
root_mean_squared_error
0.16156149691511654
root_mean_squared_error
0.17279561588134745
root_relative_squared_error
0.5670153592431985
root_relative_squared_error
0.5816548273529956
root_relative_squared_error
0.5814577615822922
root_relative_squared_error
0.5527604805406738
root_relative_squared_error
0.5653504499506415
root_relative_squared_error
0.5435314267367183
root_relative_squared_error
0.553709322855991
root_relative_squared_error
0.5633556356199119
root_relative_squared_error
0.5385383230503887
root_relative_squared_error
0.5759853862711585
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
114344.44965900002
usercpu_time_millis
111873.97268900168
usercpu_time_millis
112720.62451499914
usercpu_time_millis
113540.59297299864
usercpu_time_millis
113714.95360600056
usercpu_time_millis
113455.80676899772
usercpu_time_millis
113820.13564100089
usercpu_time_millis
114474.3726910001
usercpu_time_millis
112892.7948239998
usercpu_time_millis
113376.32078899878
usercpu_time_millis_testing
84.97805899969535
usercpu_time_millis_testing
86.35748000051535
usercpu_time_millis_testing
90.43051799926616
usercpu_time_millis_testing
89.90845900007116
usercpu_time_millis_testing
85.58319499934441
usercpu_time_millis_testing
92.30642299917236
usercpu_time_millis_testing
84.39495000129682
usercpu_time_millis_testing
84.44950400007656
usercpu_time_millis_testing
84.63416599988705
usercpu_time_millis_testing
86.82970599875262
usercpu_time_millis_training
114259.47160000032
usercpu_time_millis_training
111787.61520900116
usercpu_time_millis_training
112630.19399699988
usercpu_time_millis_training
113450.68451399857
usercpu_time_millis_training
113629.37041100122
usercpu_time_millis_training
113363.50034599855
usercpu_time_millis_training
113735.74069099959
usercpu_time_millis_training
114389.92318700002
usercpu_time_millis_training
112808.1606579999
usercpu_time_millis_training
113289.49108300003