8911892
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)
6849104
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
0.15242661730936846
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
4
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
18739460
description
https://api.openml.org/data/download/18739460/description.xml
-1
18739461
predictions
https://api.openml.org/data/download/18739461/predictions.arff
area_under_roc_curve
0.9826283333333332 [1,0.976592,0.99725,0.994311,0.979567,0.993242,0.946833,0.992972,0.9993,0.946217]
average_cost
0
f_measure
0.8328706082525293 [1,0.792839,0.947891,0.912281,0.817708,0.912621,0.530184,0.88993,0.979798,0.545455]
kappa
0.8161111111111111
kb_relative_information_score
1489.4453306791586
mean_absolute_error
0.07616282659029251
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8328074468267151 [1,0.811518,0.940887,0.914573,0.853261,0.886792,0.558011,0.837004,0.989796,0.536232]
predictive_accuracy
0.8345
prior_entropy
3.321928094887362
recall
0.8345 [1,0.775,0.955,0.91,0.785,0.94,0.505,0.95,0.97,0.555]
relative_absolute_error
0.4231268143905009
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16779824373712285
root_relative_squared_error
0.5593274791237343
total_cost
0
area_under_roc_curve
0.980611111111111 [1,0.979722,0.994444,0.995278,0.969444,1,0.916111,0.993889,0.999722,0.9575]
area_under_roc_curve
0.9805000000000001 [1,0.972778,0.9975,0.989722,0.9625,0.992778,0.949167,0.990833,0.998889,0.950833]
area_under_roc_curve
0.9801666666666665 [1,0.975556,1,0.986667,0.986667,0.994444,0.923611,0.990833,1,0.943889]
area_under_roc_curve
0.9881944444444444 [1,0.986111,0.995556,0.996944,0.994722,0.995,0.974722,0.996111,0.998889,0.943889]
area_under_roc_curve
0.9828055555555557 [1,0.968889,0.998056,0.993333,0.991944,0.991111,0.951389,0.993889,1,0.939444]
area_under_roc_curve
0.985 [1,0.981111,1,0.994167,0.990833,0.993056,0.95,0.994167,1,0.946667]
area_under_roc_curve
0.9829166666666665 [1,0.976667,0.997778,0.998889,0.981667,0.979167,0.971389,0.989444,1,0.934167]
area_under_roc_curve
0.9859444444444443 [1,0.970833,0.998611,0.996667,0.984444,0.9975,0.955833,0.995556,0.998333,0.961667]
area_under_roc_curve
0.983611111111111 [1,0.982222,1,0.997778,0.986667,0.987778,0.950556,0.997222,1,0.933889]
area_under_roc_curve
0.9786666666666666 [1,0.979167,0.991389,0.998889,0.9525,0.999722,0.929722,0.993333,0.997778,0.944167]
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
0.8205324286325569 [1,0.829268,0.904762,0.947368,0.829268,0.97561,0.342857,0.9,1,0.47619]
f_measure
0.8216492441998411 [1,0.871795,0.926829,0.923077,0.685714,0.857143,0.545455,0.818182,0.95,0.638298]
f_measure
0.8234423300276958 [1,0.714286,0.974359,0.8,0.829268,0.878049,0.5,0.871795,1,0.666667]
f_measure
0.8695763728188239 [1,0.789474,0.974359,0.926829,0.826087,0.923077,0.75,0.9,0.974359,0.631579]
f_measure
0.7942847660859684 [1,0.647059,0.947368,0.904762,0.777778,0.869565,0.5,0.808511,1,0.487805]
f_measure
0.8526775028817002 [1,0.878049,1,0.864865,0.85,0.926829,0.604651,0.952381,0.95,0.5]
f_measure
0.83812814556717 [1,0.780488,0.923077,0.95,0.857143,0.904762,0.564103,0.888889,1,0.512821]
f_measure
0.8432477082977128 [1,0.769231,0.97561,0.930233,0.842105,0.894737,0.564103,0.909091,0.947368,0.6]
f_measure
0.85326566117831 [1,0.833333,0.97561,0.952381,0.864865,0.926829,0.512821,0.930233,1,0.536585]
f_measure
0.8063328942625596 [1,0.8,0.883721,0.918919,0.8,0.97561,0.390244,0.930233,0.974359,0.390244]
kappa
0.8055555555555555
kappa
0.8055555555555555
kappa
0.8055555555555555
kappa
0.8555555555555555
kappa
0.7777777777777778
kappa
0.8388888888888889
kappa
0.8222222222222222
kappa
0.8277777777777777
kappa
0.8388888888888889
kappa
0.7833333333333334
kb_relative_information_score
147.72230690080906
kb_relative_information_score
149.24295105688577
kb_relative_information_score
146.34160624137346
kb_relative_information_score
150.3518934954056
kb_relative_information_score
146.38600686580423
kb_relative_information_score
151.65591809494717
kb_relative_information_score
149.73182111900394
kb_relative_information_score
150.91228880674228
kb_relative_information_score
151.96253966171736
kb_relative_information_score
145.1379984364697
mean_absolute_error
0.0781671673280245
mean_absolute_error
0.0755131781623763
mean_absolute_error
0.07887804839575463
mean_absolute_error
0.0752481831434955
mean_absolute_error
0.07811046040883504
mean_absolute_error
0.07339836382197436
mean_absolute_error
0.07531217596201711
mean_absolute_error
0.07520377247691032
mean_absolute_error
0.07326517137177811
mean_absolute_error
0.07853174483175915
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
0.818961038961039 [1,0.809524,0.863636,1,0.809524,0.952381,0.4,0.9,1,0.454545]
precision
0.8312912233964866 [1,0.894737,0.904762,0.947368,0.8,0.818182,0.692308,0.75,0.95,0.555556]
precision
0.8242085326953748 [1,0.681818,1,0.8,0.809524,0.857143,0.5625,0.894737,1,0.636364]
precision
0.8732899556583767 [1,0.833333,1,0.904762,0.730769,0.947368,0.75,0.9,1,0.666667]
precision
0.8035975598475598 [1,0.785714,1,0.863636,0.875,0.769231,0.5625,0.703704,1,0.47619]
precision
0.8539889532888253 [1,0.857143,1,0.941176,0.85,0.904762,0.565217,0.909091,0.95,0.5625]
precision
0.8428172704488494 [1,0.761905,0.947368,0.95,1,0.863636,0.578947,0.8,1,0.526316]
precision
0.8457033889070502 [1,0.789474,0.952381,0.869565,0.888889,0.944444,0.578947,0.833333,1,0.6]
precision
0.8564600767496513 [1,0.9375,0.952381,0.909091,0.941176,0.904762,0.526316,0.869565,1,0.52381]
precision
0.8143271221532092 [1,0.8,0.826087,1,0.933333,0.952381,0.380952,0.869565,1,0.380952]
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.87
predictive_accuracy
0.8
predictive_accuracy
0.855
predictive_accuracy
0.84
predictive_accuracy
0.845
predictive_accuracy
0.855
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
0.825 [1,0.85,0.95,0.9,0.85,1,0.3,0.9,1,0.5]
recall
0.825 [1,0.85,0.95,0.9,0.6,0.9,0.45,0.9,0.95,0.75]
recall
0.825 [1,0.75,0.95,0.8,0.85,0.9,0.45,0.85,1,0.7]
recall
0.87 [1,0.75,0.95,0.95,0.95,0.9,0.75,0.9,0.95,0.6]
recall
0.8 [1,0.55,0.9,0.95,0.7,1,0.45,0.95,1,0.5]
recall
0.855 [1,0.9,1,0.8,0.85,0.95,0.65,1,0.95,0.45]
recall
0.84 [1,0.8,0.9,0.95,0.75,0.95,0.55,1,1,0.5]
recall
0.845 [1,0.75,1,1,0.8,0.85,0.55,1,0.9,0.6]
recall
0.855 [1,0.75,1,1,0.8,0.95,0.5,1,1,0.55]
recall
0.805 [1,0.8,0.95,0.85,0.7,1,0.4,1,0.95,0.4]
relative_absolute_error
0.43426204071124774
relative_absolute_error
0.41951765645764655
relative_absolute_error
0.43821137997641507
relative_absolute_error
0.4180454619083088
relative_absolute_error
0.4339470022713063
relative_absolute_error
0.407768687899858
relative_absolute_error
0.4184009775667622
relative_absolute_error
0.41779873598283557
relative_absolute_error
0.4070287298432122
relative_absolute_error
0.4362874712875513
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
0.17076868269680823
root_mean_squared_error
0.17000687275543488
root_mean_squared_error
0.17163243014305274
root_mean_squared_error
0.16370392449179702
root_mean_squared_error
0.17313908945425294
root_mean_squared_error
0.16125351055693432
root_mean_squared_error
0.16651331324078703
root_mean_squared_error
0.16527389173921514
root_mean_squared_error
0.16060305910979883
root_mean_squared_error
0.1744311782086505
root_relative_squared_error
0.5692289423226944
root_relative_squared_error
0.56668957585145
root_relative_squared_error
0.5721081004768428
root_relative_squared_error
0.5456797483059903
root_relative_squared_error
0.5771302981808435
root_relative_squared_error
0.537511701856448
root_relative_squared_error
0.5550443774692905
root_relative_squared_error
0.5509129724640508
root_relative_squared_error
0.5353435303659964
root_relative_squared_error
0.5814372606955021
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
34091.072917999554
usercpu_time_millis
34369.49610099964
usercpu_time_millis
33953.51268200011
usercpu_time_millis
33969.98471200004
usercpu_time_millis
34135.46397099981
usercpu_time_millis
34391.005042999495
usercpu_time_millis
34247.870238999894
usercpu_time_millis
34043.49737699977
usercpu_time_millis
33925.0295640004
usercpu_time_millis
34067.74309800039
usercpu_time_millis_testing
90.19228199940699
usercpu_time_millis_testing
91.58857700003864
usercpu_time_millis_testing
94.50019300038548
usercpu_time_millis_testing
98.72159200040187
usercpu_time_millis_testing
89.58931399956782
usercpu_time_millis_testing
90.01016900037939
usercpu_time_millis_testing
89.36911000000691
usercpu_time_millis_testing
93.47359200000938
usercpu_time_millis_testing
91.14004799994291
usercpu_time_millis_testing
92.76054099973408
usercpu_time_millis_training
34000.88063600015
usercpu_time_millis_training
34277.9075239996
usercpu_time_millis_training
33859.012488999724
usercpu_time_millis_training
33871.26311999964
usercpu_time_millis_training
34045.87465700024
usercpu_time_millis_training
34300.994873999116
usercpu_time_millis_training
34158.50112899989
usercpu_time_millis_training
33950.02378499976
usercpu_time_millis_training
33833.889516000454
usercpu_time_millis_training
33974.98255700066