Run
20872

Run 20872

Task 2074 (Supervised Classification) satimage Uploaded 18-06-2014 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)_I80
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
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9273
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9119
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5861.9601
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0237
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2701
Cross-validation details (10-fold Crossvalidation)
Number of instances
6430
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
0.9276
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9288
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4836
Cross-validation details (10-fold Crossvalidation)
Recall
0.9288
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0879
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3675
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1537
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4184
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
918.4954[541.0175720790662995.585111012386469.2927333365945882.04572420201981704.5359987002564]