Run
574543

Run 574543

Task 53 (Supervised Classification) vehicle Uploaded 31-05-2016 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_REPTree(17)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.Bagging_REPTree(17)_P100
weka.Bagging_REPTree(17)_S1
weka.Bagging_REPTree(17)_num-slots1
weka.Bagging_REPTree(17)_I10
weka.Bagging_REPTree(17)_Wweka.classifiers.trees.REPTree

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.

22 Evaluation measures

Area under ROC curve
0.919
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.713
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6313
Cross-validation details (10-fold Crossvalidation)
KB relative information score
537.1402
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1689
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.7079
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7234
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.7234
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4506
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2869
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6626
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1545.9781
UserCPU time millis
90
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
90
Cross-validation details (10-fold Crossvalidation)