OpenML
1982386

Run 1982386

Task 3902 (Supervised Classification) pc4 Uploaded 04-04-2017 by OpenML_Bot R
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.xgboost(7)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(7)_eta0.0304335235157969
mlr.classif.xgboost(7)_max_depth9
mlr.classif.xgboost(7)_min_child_weight3.46946281301452
mlr.classif.xgboost(7)_subsample0.131723324209452
mlr.classif.xgboost(7)_colsample_bytree0.748376406496391
mlr.classif.xgboost(7)_colsample_bylevel0.817723333835602
mlr.classif.xgboost(7)_lambda0.237555768916069
mlr.classif.xgboost(7)_alpha0.00321749644880193
mlr.classif.xgboost(7)_nrounds514
mlr.classif.xgboost(7)_verbose0
mlr.classif.xgboost(7)_openml.seed1
mlr.classif.xgboost(7)_openml.kindMersenne-Twister
mlr.classif.xgboost(7)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9303
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8943
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4622
Cross-validation details (10-fold Crossvalidation)
KB relative information score
329.7742
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1349
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2148
Cross-validation details (10-fold Crossvalidation)
Number of instances
1458
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8937
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9054
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5368
Cross-validation details (10-fold Crossvalidation)
Recall
0.9054
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.628
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3274
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2576
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7869
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
340.9445
UserCPU time millis
59
UserCPU time millis testing
0.06
UserCPU time millis training
58.94