Run
22465

Run 22465

Task 9 (Supervised Classification) autos Uploaded 22-06-2014 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)_I40
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
0.9099
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8489
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8038
Cross-validation details (10-fold Crossvalidation)
KB relative information score
161.0708
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0531
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2209
Cross-validation details (10-fold Crossvalidation)
Number of instances
205
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
0.8492
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8488
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.3268
Cross-validation details (10-fold Crossvalidation)
Recall
0.8488
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3318
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2059
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6207
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
908.3148[554.9604525776903981.6377737941469466.84428098298696848.36241765377611689.768918062378]