10435725
10963
Nelly Palacios
3560
Supervised Classification
17488
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1)
8259290
add_indicator
false
17407
copy
true
17407
fill_value
-1
17407
missing_values
NaN
17407
strategy
"constant"
17407
verbose
0
17407
memory
null
17488
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
17488
verbose
false
17488
base_score
0.5
17489
booster
"gbtree"
17489
colsample_bylevel
1
17489
colsample_bynode
1
17489
colsample_bytree
1
17489
gamma
0
17489
learning_rate
0.1
17489
max_delta_step
0
17489
max_depth
3
17489
min_child_weight
1
17489
missing
null
17489
n_estimators
100
17489
n_jobs
1
17489
nthread
null
17489
objective
"multi:softprob"
17489
random_state
42
17489
reg_alpha
0
17489
reg_lambda
1
17489
scale_pos_weight
1
17489
seed
null
17489
silent
null
17489
subsample
1
17489
verbosity
1
17489
openml-python
Sklearn_0.21.2.
469
analcatdata_dmft
https://www.openml.org/data/download/52581/analcatdata_dmft.arff
-1
21794354
description
https://api.openml.org/data/download/21794354/description.xml
-1
21794355
predictions
https://api.openml.org/data/download/21794355/predictions.arff
area_under_roc_curve
0.5929461574011604 [0.609813,0.590738,0.632891,0.532439,0.593141,0.613664]
average_cost
0
f_measure
0.22044753707539627 [0.224066,0.186992,0.232365,0.265537,0.222222,0.181818]
kappa
0.06318665172740011
kb_relative_information_score
0.10696920824496994
mean_absolute_error
0.26871443328439965
mean_prior_absolute_error
0.2774075468769606
weighted_recall
0.22208281053952322 [0.212598,0.174242,0.225806,0.303226,0.220588,0.178862]
number_of_instances
797 [127,132,124,155,136,123]
precision
0.22105525368175324 [0.236842,0.201754,0.239316,0.236181,0.223881,0.184874]
predictive_accuracy
0.2220828105395232
prior_entropy
2.5802594571056106
relative_absolute_error
0.9686630241663302
root_mean_prior_squared_error
0.37242769802946113
root_mean_squared_error
0.37213498854359794
root_relative_squared_error
0.9992140501702426
total_cost
0
unweighted_recall
0.21922052190263244 [0.212598,0.174242,0.225806,0.303226,0.220588,0.178862]
area_under_roc_curve
0.6221973277205216 [0.6969,0.588404,0.620098,0.554199,0.556277,0.747549]
area_under_roc_curve
0.5516104954214556 [0.65155,0.614237,0.628064,0.438965,0.507576,0.500613]
area_under_roc_curve
0.607994289186587 [0.721584,0.50287,0.621324,0.552246,0.61526,0.651348]
area_under_roc_curve
0.5898058041801353 [0.494834,0.634902,0.639706,0.473145,0.66342,0.663603]
area_under_roc_curve
0.6246122511398555 [0.616533,0.693456,0.752451,0.584473,0.551948,0.56924]
area_under_roc_curve
0.5604525756654818 [0.65155,0.53355,0.543628,0.531282,0.652124,0.448529]
area_under_roc_curve
0.6253433617341102 [0.572331,0.708874,0.61194,0.553333,0.671068,0.640319]
area_under_roc_curve
0.5230026149459835 [0.510572,0.443473,0.594406,0.502083,0.573427,0.516317]
area_under_roc_curve
0.6219360350863633 [0.501866,0.553613,0.764569,0.593229,0.614219,0.699301]
area_under_roc_curve
0.6499421027166989 [0.717662,0.653846,0.626866,0.586979,0.594505,0.737179]
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
0.23290740740740742 [0.307692,0.148148,0.222222,0.3,0.16,0.25]
f_measure
0.22533382945654754 [0.272727,0.206897,0.190476,0.294118,0.2,0.166667]
f_measure
0.20761968264401523 [0.416667,0.137931,0.090909,0.242424,0.095238,0.258065]
f_measure
0.19797569103919216 [0.214286,0.190476,0.296296,0.210526,0.26087,0]
f_measure
0.22175055490272882 [0,0.222222,0.26087,0.378378,0.214286,0.222222]
f_measure
0.25736435878699304 [0.307692,0.26087,0.214286,0.352941,0.285714,0.095238]
f_measure
0.2080339267839268 [0.076923,0.25,0.296296,0.216216,0.285714,0.111111]
f_measure
0.1437611460929249 [0.083333,0.105263,0.095238,0.162162,0.242424,0.166667]
f_measure
0.22003564221505884 [0.26087,0.1,0.285714,0.285714,0.214286,0.166667]
f_measure
0.25209384921301115 [0.25,0.222222,0.307692,0.206897,0.230769,0.307692]
kappa
0.07837582625118032
kappa
0.0660892487290529
kappa
0.05458638154192459
kappa
0.035963095462248164
kappa
0.08080617818798265
kappa
0.11311537016159341
kappa
0.05120481927710842
kappa
-0.02142030104206871
kappa
0.07058823529411765
kappa
0.10365384615384618
kb_relative_information_score
0.11543036950876616
kb_relative_information_score
0.09716424837180482
kb_relative_information_score
0.10819279920531112
kb_relative_information_score
0.10238286354076986
kb_relative_information_score
0.10642299002855847
kb_relative_information_score
0.11233225884389327
kb_relative_information_score
0.11150242874336898
kb_relative_information_score
0.07629627329147783
kb_relative_information_score
0.10827983497387039
kb_relative_information_score
0.13163668898993816
mean_absolute_error
0.26695698901562503
mean_absolute_error
0.27192127420937506
mean_absolute_error
0.26874100351875
mean_absolute_error
0.2695116195666666
mean_absolute_error
0.26827886918125005
mean_absolute_error
0.2678886377133334
mean_absolute_error
0.2674804179708334
mean_absolute_error
0.2744175267544304
mean_absolute_error
0.2682988465232068
mean_absolute_error
0.2636519613248946
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27750103777501023
mean_prior_absolute_error
0.27750103777501023
mean_prior_absolute_error
0.27751417416754665
mean_prior_absolute_error
0.27751417416754665
mean_prior_absolute_error
0.27745111948337176
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,14,13,15,13,12]
number_of_instances
80 [13,14,13,15,13,12]
number_of_instances
79 [12,13,13,15,13,13]
number_of_instances
79 [12,13,13,15,13,13]
number_of_instances
79 [12,13,12,15,14,13]
precision
0.24253246753246754 [0.307692,0.142857,0.333333,0.25,0.181818,0.25]
precision
0.23133680555555552 [0.333333,0.1875,0.222222,0.277778,0.1875,0.166667]
precision
0.2128139072614692 [0.454545,0.125,0.1,0.235294,0.142857,0.210526]
precision
0.2078219696969697 [0.2,0.25,0.266667,0.181818,0.333333,0]
precision
0.20989718614718617 [0,0.214286,0.272727,0.333333,0.214286,0.2]
precision
0.2600438596491228 [0.307692,0.333333,0.2,0.315789,0.266667,0.111111]
precision
0.21385281385281382 [0.076923,0.3,0.285714,0.181818,0.266667,0.166667]
precision
0.14937667817414652 [0.083333,0.166667,0.125,0.136364,0.2,0.181818]
precision
0.219116115951559 [0.272727,0.142857,0.266667,0.25,0.2,0.181818]
precision
0.2522603978300181 [0.25,0.214286,0.285714,0.214286,0.25,0.307692]
predictive_accuracy
0.2375
predictive_accuracy
0.225
predictive_accuracy
0.2125
predictive_accuracy
0.2
predictive_accuracy
0.2375
predictive_accuracy
0.2625
predictive_accuracy
0.2125
predictive_accuracy
0.1518987341772152
predictive_accuracy
0.22784810126582278
predictive_accuracy
0.25316455696202533
prior_entropy
2.5780396342004863
prior_entropy
2.5780396342004863
prior_entropy
2.5780396342004863
prior_entropy
2.5780396342004863
prior_entropy
2.5780396342004863
prior_entropy
2.58256922897123
prior_entropy
2.58256922897123
prior_entropy
2.583004661586018
prior_entropy
2.583004661586018
prior_entropy
2.5813306388227466
relative_absolute_error
0.9626335657796105
relative_absolute_error
0.9805345301830066
relative_absolute_error
0.9690666329522598
relative_absolute_error
0.9718454359226871
relative_absolute_error
0.9674001996184962
relative_absolute_error
0.9653608500395221
relative_absolute_error
0.9638897934057411
relative_absolute_error
0.9888414801787865
relative_absolute_error
0.9667933082265694
relative_absolute_error
0.9502645432313558
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37255319238676876
root_mean_prior_squared_error
0.37255319238676876
root_mean_prior_squared_error
0.3725708221937262
root_mean_prior_squared_error
0.3725708221937262
root_mean_prior_squared_error
0.372486191510416
root_mean_squared_error
0.3708887981358514
root_mean_squared_error
0.3743270576229048
root_mean_squared_error
0.37092805583718735
root_mean_squared_error
0.37461623459076826
root_mean_squared_error
0.36907597246454515
root_mean_squared_error
0.37451031964523457
root_mean_squared_error
0.36946437985220515
root_mean_squared_error
0.381847048068092
root_mean_squared_error
0.36990113054592166
root_mean_squared_error
0.36556468180389423
root_relative_squared_error
0.99618441888421
root_relative_squared_error
1.0054193716417448
root_relative_squared_error
0.9962898626468383
root_relative_squared_error
1.0061960831281356
root_relative_squared_error
0.9913152810267569
root_relative_squared_error
1.0052532827485048
root_relative_squared_error
0.9917090697444435
root_relative_squared_error
1.0248978860441798
root_relative_squared_error
0.9928344049271352
root_relative_squared_error
0.9814180770609098
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
unweighted_recall
0.23267704517704516 [0.307692,0.153846,0.166667,0.375,0.142857,0.25]
unweighted_recall
0.22027625152625152 [0.230769,0.230769,0.166667,0.3125,0.214286,0.166667]
unweighted_recall
0.21275946275946278 [0.384615,0.153846,0.083333,0.25,0.071429,0.333333]
unweighted_recall
0.19703907203907203 [0.230769,0.153846,0.333333,0.25,0.214286,0]
unweighted_recall
0.23042582417582416 [0,0.230769,0.25,0.4375,0.214286,0.25]
unweighted_recall
0.25729548229548227 [0.307692,0.214286,0.230769,0.4,0.307692,0.083333]
unweighted_recall
0.20943223443223444 [0.076923,0.214286,0.307692,0.266667,0.307692,0.083333]
unweighted_recall
0.14978632478632478 [0.083333,0.076923,0.076923,0.2,0.307692,0.153846]
unweighted_recall
0.22542735042735043 [0.25,0.076923,0.307692,0.333333,0.230769,0.153846]
unweighted_recall
0.256013431013431 [0.25,0.230769,0.333333,0.2,0.214286,0.307692]
usercpu_time_millis
99.47371500038571
usercpu_time_millis
106.86293100116018
usercpu_time_millis
97.45536599984916
usercpu_time_millis
99.6526469998571
usercpu_time_millis
103.29083299984632
usercpu_time_millis
97.73817399945983
usercpu_time_millis
99.0267719998883
usercpu_time_millis
100.65656700044201
usercpu_time_millis
100.5207230009546
usercpu_time_millis
98.86203300084162
usercpu_time_millis_testing
1.8879230001402902
usercpu_time_millis_testing
1.8813240003510145
usercpu_time_millis_testing
1.998136000111117
usercpu_time_millis_testing
1.9814400002360344
usercpu_time_millis_testing
1.9274919995950768
usercpu_time_millis_testing
1.818447999539785
usercpu_time_millis_testing
1.8941409998660674
usercpu_time_millis_testing
1.864691000264429
usercpu_time_millis_testing
1.8707770004766644
usercpu_time_millis_testing
1.9495230008033104
usercpu_time_millis_training
97.58579200024542
usercpu_time_millis_training
104.98160700080916
usercpu_time_millis_training
95.45722999973805
usercpu_time_millis_training
97.67120699962106
usercpu_time_millis_training
101.36334100025124
usercpu_time_millis_training
95.91972599992005
usercpu_time_millis_training
97.13263100002223
usercpu_time_millis_training
98.79187600017758
usercpu_time_millis_training
98.64994600047794
usercpu_time_millis_training
96.91251000003831
wall_clock_time_millis
99.47943687438965
wall_clock_time_millis
106.9037914276123
wall_clock_time_millis
97.49054908752441
wall_clock_time_millis
100.73637962341309
wall_clock_time_millis
103.3625602722168
wall_clock_time_millis
97.74994850158691
wall_clock_time_millis
99.04074668884277
wall_clock_time_millis
100.6612777709961
wall_clock_time_millis
100.52633285522461
wall_clock_time_millis
98.86741638183594
wall_clock_time_millis_testing
1.8901824951171875
wall_clock_time_millis_testing
1.8830299377441406
wall_clock_time_millis_testing
2.0008087158203125
wall_clock_time_millis_testing
1.9843578338623047
wall_clock_time_millis_testing
1.9299983978271484
wall_clock_time_millis_testing
1.8210411071777344
wall_clock_time_millis_testing
1.8963813781738281
wall_clock_time_millis_testing
1.8665790557861328
wall_clock_time_millis_testing
1.873016357421875
wall_clock_time_millis_testing
1.9519329071044922
wall_clock_time_millis_training
97.58925437927246
wall_clock_time_millis_training
105.02076148986816
wall_clock_time_millis_training
95.4897403717041
wall_clock_time_millis_training
98.75202178955078
wall_clock_time_millis_training
101.43256187438965
wall_clock_time_millis_training
95.92890739440918
wall_clock_time_millis_training
97.14436531066895
wall_clock_time_millis_training
98.79469871520996
wall_clock_time_millis_training
98.65331649780273
wall_clock_time_millis_training
96.91548347473145
weighted_recall
0.2375 [0.307692,0.153846,0.166667,0.375,0.142857,0.25]
weighted_recall
0.225 [0.230769,0.230769,0.166667,0.3125,0.214286,0.166667]
weighted_recall
0.2125 [0.384615,0.153846,0.083333,0.25,0.071429,0.333333]
weighted_recall
0.2 [0.230769,0.153846,0.333333,0.25,0.214286,0]
weighted_recall
0.2375 [0,0.230769,0.25,0.4375,0.214286,0.25]
weighted_recall
0.2625 [0.307692,0.214286,0.230769,0.4,0.307692,0.083333]
weighted_recall
0.2125 [0.076923,0.214286,0.307692,0.266667,0.307692,0.083333]
weighted_recall
0.1518987341772152 [0.083333,0.076923,0.076923,0.2,0.307692,0.153846]
weighted_recall
0.22784810126582278 [0.25,0.076923,0.307692,0.333333,0.230769,0.153846]
weighted_recall
0.25316455696202533 [0.25,0.230769,0.333333,0.2,0.214286,0.307692]