Run
22351

Run 22351

Task 12 (Supervised Classification) mfeat-factors Uploaded 21-06-2014 by Joaquin Vanschoren
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Flow

weka.AdaBoostM1_LMT(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_LMT(1)_I10
weka.AdaBoostM1_LMT(1)_P100
weka.AdaBoostM1_LMT(1)_S1
weka.AdaBoostM1_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.9912
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9785
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9761
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1955.5112
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0043
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.9786
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9785
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9785
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0239
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0648
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2159
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
879.6721[505.57699011368413936.3240650382722424.0686400075872910.85475360997441621.5360106437]