Run
20160

Run 20160

Task 57 (Supervised Classification) ionosphere Uploaded 18-06-2014 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)_I20
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
0.9465
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9423
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8735
Cross-validation details (10-fold Crossvalidation)
KB relative information score
307.7743
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0545
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
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
0.9441
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.943
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.943
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1185
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2303
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.48
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
937.7896[560.48863959327881012.5880246437401450.20621731383693903.94479785969181761.7204843045454]