Run
20682

Run 20682

Task 2075 (Supervised Classification) abalone Uploaded 18-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I80
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
0.5808
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2252
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1352
Cross-validation details (10-fold Crossvalidation)
KB relative information score
755.913
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0526
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
0.2187
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2373
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2373
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8518
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
1.2987
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
947.3592[570.01329170471311013.3867476860681472.38971539770705912.43998791392861768.5664600912808]