Run
22874

Run 22874

Task 42 (Supervised Classification) haberman Uploaded 23-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_LMT(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(1)_I160
weka.Bagging_LMT(1)_P100
weka.Bagging_LMT(1)_S1
weka.Bagging_LMT(1)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(1)_num-slots1
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
0.6906
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6887
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1619
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10.8448
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3533
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.39
Cross-validation details (10-fold Crossvalidation)
Number of instances
306
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
0.6794
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7124
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.836
Cross-validation details (10-fold Crossvalidation)
Recall
0.7124
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9059
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4412
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4317
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9786
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
928.9712[550.9287964609948994.3008483142872474.89683756077204895.91254533681021728.8170495867093]