Run
23373

Run 23373

Task 2075 (Supervised Classification) abalone Uploaded 24-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_RandomForest(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_RandomForest(1)_I160
weka.AdaBoostM1_RandomForest(1)_P100
weka.AdaBoostM1_RandomForest(1)_S1
weka.AdaBoostM1_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
0.5742
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2291
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1396
Cross-validation details (10-fold Crossvalidation)
KB relative information score
770.0279
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0524
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.2226
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2411
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2411
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8473
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2282
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2984
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
915.6063[541.6896349385513911.5207820438596476.5831398139759908.95975824819551739.2780735273252]