Run
1810099

Run 1810099

Task 3524 (Supervised Classification) fbis.wc Uploaded 27-07-2016 by Jan van Rijn
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Flow

weka.Bagging_LMT(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.LMT(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_W0.0
weka.Bagging_LMT(3)_P100
weka.Bagging_LMT(3)_S1
weka.Bagging_LMT(3)_num-slots1
weka.Bagging_LMT(3)_I10
weka.Bagging_LMT(3)_Wweka.classifiers.trees.LMT

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.9822
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8449
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8297
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2062.982
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0247
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1047
Cross-validation details (10-fold Crossvalidation)
Number of instances
2463
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8446
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.849
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.849
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2361
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2288
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1142
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4989
Cross-validation details (10-fold Crossvalidation)
Total cost