Run
8593116

Run 8593116

Task 145836 (Supervised Classification) blood-transfusion-service-center Uploaded 29-11-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.ranger(16)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(16)_num.trees626
mlr.classif.ranger(16)_mtry2
mlr.classif.ranger(16)_min.node.size115
mlr.classif.ranger(16)_replaceFALSE
mlr.classif.ranger(16)_sample.fraction0.960422689816914
mlr.classif.ranger(16)_respect.unordered.factorsTRUE
mlr.classif.ranger(16)_num.threads1
mlr.classif.ranger(16)_verboseFALSE
mlr.classif.ranger(16)_openml.seed1
mlr.classif.ranger(16)_openml.kindMersenne-Twister
mlr.classif.ranger(16)_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
0.7222
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7775
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
97.96
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3066
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.363
Cross-validation details (10-fold Crossvalidation)
Number of instances
748
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7739
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7914
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7928
Cross-validation details (10-fold Crossvalidation)
Recall
0.7914
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8444
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4258
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.393
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9229
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1359.7247
UserCPU time millis
1.01
UserCPU time millis testing
0.172
UserCPU time millis training
0.838