1883222
2702
OpenML_Bot R
3485
Supervised Classification
5969
mlr.classif.svm(8)
49358
cost
0.526200020461885
5969
gamma
1.16741203372599
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
4715861
description
https://api.openml.org/data/download/4715861/description2de0451189d.xml
-1
4715862
predictions
https://api.openml.org/data/download/4715862/predictions2de01b66749e.arff
area_under_roc_curve
0.5008277990174437 [0.500828,0.500828]
average_cost
0
f_measure
0.7412102379169613 [0.901871,0.00463]
kappa
0.0038037964814878595
kb_relative_information_score
8.318534041232226
mean_absolute_error
0.29299318858584733
mean_prior_absolute_error
0.29416743712946186
number_of_instances
2407 [1976,431]
precision
0.8532819039508278 [0.82128,1]
predictive_accuracy
0.8213543830494392
prior_entropy
0.6786037019780878
recall
0.8213543830494391 [1,0.00232]
relative_absolute_error
0.9960082307033266
root_mean_prior_squared_error
0.3834035412052162
root_mean_squared_error
0.3828751676104898
root_relative_squared_error
0.9986218865035374
scimark_benchmark
644.048705494056 [ 590.867425474028, 678.505284507007, 209.715199999893, 800.195360194955, 940.960257294396 ]
total_cost
0
usercpu_time_millis
913.71999999999
usercpu_time_millis_testing
13.6999999999935
usercpu_time_millis_training
900.019999999997
area_under_roc_curve
0.5116279069767442 [0.511628,0.511628]
area_under_roc_curve
0.5075757575757576 [0.507576,0.507576]
area_under_roc_curve
0.5140944326990838 [0.514094,0.514094]
area_under_roc_curve
0.5050505050505051 [0.505051,0.505051]
area_under_roc_curve
0.51010101010101 [0.510101,0.510101]
area_under_roc_curve
0.4785059901338971 [0.478506,0.478506]
area_under_roc_curve
0.5101522842639594 [0.510152,0.510152]
area_under_roc_curve
0.5050761421319797 [0.505076,0.505076]
area_under_roc_curve
0.5190650454491795 [0.519065,0.519065]
area_under_roc_curve
0.5126903553299492 [0.51269,0.51269]
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
0.7509055771148649 [0.90411,0.045455]
f_measure
0.7411034130757379 [0.90205,0]
f_measure
0.7411034130757379 [0.90205,0]
f_measure
0.7411034130757379 [0.90205,0]
f_measure
0.7411034130757379 [0.90205,0]
f_measure
0.7411034130757379 [0.90205,0]
f_measure
0.7353113927887986 [0.899543,0]
f_measure
0.7400648360030512 [0.901602,0]
f_measure
0.7400648360030512 [0.901602,0]
f_measure
0.7400648360030512 [0.901602,0]
kappa
0.03764974329720436
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
3.1828062202274405
kb_relative_information_score
0.509515172776139
kb_relative_information_score
0.2507407782220821
kb_relative_information_score
0.42576777211461786
kb_relative_information_score
0.9116533907176225
kb_relative_information_score
0.009372561604903516
kb_relative_information_score
0.8522977965117673
kb_relative_information_score
0.25154012827250294
kb_relative_information_score
0.8078695365194103
kb_relative_information_score
1.1169706842656837
mean_absolute_error
0.29061404653767897
mean_absolute_error
0.29291344656490437
mean_absolute_error
0.29335658796194897
mean_absolute_error
0.29305033868094665
mean_absolute_error
0.2922473984026087
mean_absolute_error
0.29372209517023573
mean_absolute_error
0.29501478273221476
mean_absolute_error
0.2938304213944127
mean_absolute_error
0.2928351266357401
mean_absolute_error
0.2923477818779833
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
0.8562240663900414 [0.825,1]
precision
0.6749883782992717 [0.821577,0]
precision
0.6749883782992717 [0.821577,0]
precision
0.6749883782992717 [0.821577,0]
precision
0.6749883782992717 [0.821577,0]
precision
0.6749883782992717 [0.821577,0]
precision
0.6681875312064186 [0.817427,0]
precision
0.673767361111111 [0.820833,0]
precision
0.673767361111111 [0.820833,0]
precision
0.673767361111111 [0.820833,0]
predictive_accuracy
0.8257261410788382
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8174273858921162
predictive_accuracy
0.8208333333333333
predictive_accuracy
0.8208333333333333
predictive_accuracy
0.8208333333333333
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
0.8257261410788381 [1,0.023256]
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8174273858921162 [1,0]
recall
0.8208333333333333 [1,0]
recall
0.8208333333333333 [1,0]
recall
0.8208333333333333 [1,0]
relative_absolute_error
0.9892962431724596
relative_absolute_error
0.9971237650544406
relative_absolute_error
0.9986322885567054
relative_absolute_error
0.9975897674990367
relative_absolute_error
0.9948564316182861
relative_absolute_error
0.9998765329843873
relative_absolute_error
0.9952608918256449
relative_absolute_error
0.9986244389583127
relative_absolute_error
0.9952417882945019
relative_absolute_error
0.9935854778859863
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
0.3792095313039694
root_mean_squared_error
0.38271782012854894
root_mean_squared_error
0.3828687286202292
root_mean_squared_error
0.38272491803984265
root_mean_squared_error
0.3824946932395382
root_mean_squared_error
0.3830929737788074
root_mean_squared_error
0.38604124938112605
root_mean_squared_error
0.38349210294592984
root_mean_squared_error
0.38307752292409697
root_mean_squared_error
0.3830045514121752
root_relative_squared_error
0.9904401858231694
root_relative_squared_error
0.9996033263787072
root_relative_squared_error
0.9999974774276751
root_relative_squared_error
0.9996218650914779
root_relative_squared_error
0.9990205513713017
root_relative_squared_error
1.0005831731926744
root_relative_squared_error
0.9992541992387776
root_relative_squared_error
1.000000662713461
root_relative_squared_error
0.9989195966539622
root_relative_squared_error
0.9987293148731369
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