Run
24442

Run 24442

Task 2073 (Supervised Classification) yeast Uploaded 10-07-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I160
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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.

19 Evaluation measures

Area under ROC curve
0.7385
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5899
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.475
Cross-validation details (10-fold Crossvalidation)
KB relative information score
769.1934
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0805
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10-fold Crossvalidation)
Number of instances
1484
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5942
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5977
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10-fold Crossvalidation)
Recall
0.5977
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5175
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2832
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0161
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
595.3159[345.80503341662984900.8672571222878243.148037807185524.9179058923572961.8410283580943]