Run
1677852

Run 1677852

Task 9967 (Supervised Classification) steel-plates-fault Uploaded 22-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
1
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
1
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
1
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1361.0473
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1728
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4531
Cross-validation details (10-fold Crossvalidation)
Number of instances
1941
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
1
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
1
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9313
Cross-validation details (10-fold Crossvalidation)
Recall
1
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3814
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1845
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3877
Cross-validation details (10-fold Crossvalidation)