Run
17904

Run 17904

Task 2068 (Supervised Classification) solar-flare Uploaded 09-06-2014 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)_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
0.5943
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9916
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0032
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-310.8802
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0075
Cross-validation details (10-fold Crossvalidation)
Number of instances
1066
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
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9925
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10-fold Crossvalidation)
Recall
0.9925
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6957
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.071
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2726
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.3189[567.78666173126961014.9881711071126474.89683756077204911.17132945493631757.751385454742]