1883263
2702
OpenML_Bot R
3485
Supervised Classification
5969
mlr.classif.svm(8)
49382
cost
1.00742685140991
5969
kernel
linear
5969
openml.seed
1
5969
openml.kind
Mersenne-Twister
5969
openml.normal.kind
Inversion
5969
botV1
mlrRandomBot
sciBenchV1.0
312
scene
https://www.openml.org/data/download/1390080/phpuZu33P
-1
4715943
description
https://api.openml.org/data/download/4715943/description4f47cb41631.xml
-1
4715944
predictions
https://api.openml.org/data/download/4715944/predictions4f45c577317.arff
area_under_roc_curve
0.9689534272053505 [0.968953,0.968953]
average_cost
0
f_measure
0.9635066535264918 [0.978478,0.894866]
kappa
0.8734189754740934
kb_relative_information_score
1793.1452910135856
mean_absolute_error
0.07705485961337054
mean_prior_absolute_error
0.29416743712946186
number_of_instances
2407 [1976,431]
precision
0.9638671560801553 [0.967822,0.945736]
predictive_accuracy
0.9642708766098879
prior_entropy
0.6786037019780878
recall
0.9642708766098879 [0.989372,0.849188]
relative_absolute_error
0.2619421794787538
root_mean_prior_squared_error
0.3834035412052162
root_mean_squared_error
0.17741468769738516
root_relative_squared_error
0.462736173848807
scimark_benchmark
665.315443992375 [ 594.897899044879, 678.505284507007, 203.66878300466, 788.640192538985, 1060.86506086634 ]
total_cost
0
usercpu_time_millis
250.200000000008
usercpu_time_millis_testing
1.87000000000262
usercpu_time_millis_training
248.330000000005
area_under_roc_curve
0.9749823819591261 [0.974982,0.974982]
area_under_roc_curve
0.9146112285647169 [0.914611,0.914611]
area_under_roc_curve
0.9482029598308669 [0.948203,0.948203]
area_under_roc_curve
0.9863753817242188 [0.986375,0.986375]
area_under_roc_curve
0.9772140004698144 [0.977214,0.977214]
area_under_roc_curve
0.9889593610523844 [0.988959,0.988959]
area_under_roc_curve
0.9967697277341946 [0.99677,0.99677]
area_under_roc_curve
0.9696611970251446 [0.969661,0.969661]
area_under_roc_curve
0.9755636878762837 [0.975564,0.975564]
area_under_roc_curve
0.991264313540314 [0.991264,0.991264]
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
0.9567891675857657 [0.975248,0.871795]
f_measure
0.9537035610072022 [0.972431,0.86747]
f_measure
0.935542390003437 [0.962779,0.810127]
f_measure
0.9661613197044834 [0.98,0.902439]
f_measure
0.9699197820016038 [0.98263,0.911392]
f_measure
0.9708200815365916 [0.982368,0.917647]
f_measure
0.9873792275357838 [0.992443,0.964706]
f_measure
0.9615775549986075 [0.977444,0.888889]
f_measure
0.9663540163540162 [0.979798,0.904762]
f_measure
0.9660211627241899 [0.979899,0.902439]
kappa
0.847352419559159
kappa
0.8399444545070339
kappa
0.7732547199397856
kappa
0.8824963432471965
kappa
0.8941855359718999
kappa
0.9000177798850234
kappa
0.9571606328138889
kappa
0.8664358149888698
kappa
0.8845737645785741
kappa
0.882396177875781
kb_relative_information_score
175.95197265348398
kb_relative_information_score
164.0740824612508
kb_relative_information_score
167.29379267692406
kb_relative_information_score
178.6627061220154
kb_relative_information_score
177.62161219426278
kb_relative_information_score
188.73951523477726
kb_relative_information_score
187.25084822575602
kb_relative_information_score
189.08884782966848
kb_relative_information_score
187.572920038446
kb_relative_information_score
176.88899357699898
mean_absolute_error
0.08220379516293538
mean_absolute_error
0.08472707553193412
mean_absolute_error
0.08607561177684613
mean_absolute_error
0.08457012784769286
mean_absolute_error
0.07808082510218076
mean_absolute_error
0.06671688473876303
mean_absolute_error
0.07537300394018479
mean_absolute_error
0.06300119754658456
mean_absolute_error
0.06669367289438237
mean_absolute_error
0.08302988781384026
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.29641954703058604
mean_prior_absolute_error
0.2942351598173521
mean_prior_absolute_error
0.2942351598173521
mean_prior_absolute_error
0.2942351598173521
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [197,44]
number_of_instances
240 [197,43]
number_of_instances
240 [197,43]
number_of_instances
240 [197,43]
precision
0.9590080627989019 [0.956311,0.971429]
precision
0.9535455502570136 [0.965174,0.9]
precision
0.9360905891216589 [0.946341,0.888889]
precision
0.9664468202326137 [0.970297,0.948718]
precision
0.9719461592956178 [0.965854,1]
precision
0.9707413773074025 [0.979899,0.928571]
precision
0.9877385892116182 [0.985,1]
precision
0.9621254559666492 [0.965347,0.947368]
precision
0.9662662908036116 [0.974874,0.926829]
precision
0.9663094782497768 [0.970149,0.948718]
predictive_accuracy
0.9585062240663901
predictive_accuracy
0.9543568464730291
predictive_accuracy
0.937759336099585
predictive_accuracy
0.966804979253112
predictive_accuracy
0.970954356846473
predictive_accuracy
0.970954356846473
predictive_accuracy
0.9875518672199171
predictive_accuracy
0.9625
predictive_accuracy
0.9666666666666667
predictive_accuracy
0.9666666666666667
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
recall
0.9585062240663901 [0.994949,0.790698]
recall
0.9543568464730291 [0.979798,0.837209]
recall
0.9377593360995851 [0.979798,0.744186]
recall
0.966804979253112 [0.989899,0.860465]
recall
0.970954356846473 [1,0.837209]
recall
0.970954356846473 [0.984848,0.906977]
recall
0.9875518672199171 [1,0.931818]
recall
0.9625 [0.989848,0.837209]
recall
0.9666666666666667 [0.984772,0.883721]
recall
0.9666666666666667 [0.989848,0.860465]
relative_absolute_error
0.27983473854098956
relative_absolute_error
0.2884243845655413
relative_absolute_error
0.2930150155304502
relative_absolute_error
0.2878901097903047
relative_absolute_error
0.2657994954396612
relative_absolute_error
0.2271148425706629
relative_absolute_error
0.2542781159179338
relative_absolute_error
0.21411852202059353
relative_absolute_error
0.22666792417256587
relative_absolute_error
0.28218887187167385
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3863293741224291
root_mean_prior_squared_error
0.38349184880071946
root_mean_prior_squared_error
0.38349184880071946
root_mean_prior_squared_error
0.38349184880071946
root_mean_squared_error
0.19117280602044423
root_mean_squared_error
0.20987101972407382
root_mean_squared_error
0.21680255008392996
root_mean_squared_error
0.17365562763176431
root_mean_squared_error
0.17168739756960183
root_mean_squared_error
0.1498311052742588
root_mean_squared_error
0.13542462841285668
root_mean_squared_error
0.182158704707036
root_mean_squared_error
0.1585773970619741
root_mean_squared_error
0.16846614092194917
root_relative_squared_error
0.49931558647308594
root_relative_squared_error
0.548152603284088
root_relative_squared_error
0.5662567532352974
root_relative_squared_error
0.4535632622666712
root_relative_squared_error
0.4484225313841757
root_relative_squared_error
0.39133707225036296
root_relative_squared_error
0.3505418885646012
root_relative_squared_error
0.47500019955233597
root_relative_squared_error
0.4135091725101527
root_relative_squared_error
0.43929523260738756
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