OpenML
8286810

Run 8286810

Task 9957 (Supervised Classification) qsar-biodeg Uploaded 28-10-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV10
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Flow

mlr.classif.kknn(10)Learner mlr.classif.kknn from package(s) !kknn.
mlr.classif.kknn(10)_k1
mlr.classif.kknn(10)_openml.seed1
mlr.classif.kknn(10)_openml.kindMersenne-Twister
mlr.classif.kknn(10)_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
0.8216
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.629
Cross-validation details (10-fold Crossvalidation)
KB relative information score
635.5011
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1697
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4472
Cross-validation details (10-fold Crossvalidation)
Number of instances
1055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8354
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8303
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8303
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3794
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4119
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8711
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1561.6806
UserCPU time millis
0.391
UserCPU time millis testing
0.381
UserCPU time millis training
0.01