OpenML
467431

Run 467431

Task 3639 (Supervised Classification) fri_c0_250_25 Uploaded 22-07-2015 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_REPTree(8)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.Bagging_REPTree(8)_P100
weka.Bagging_REPTree(8)_S1
weka.Bagging_REPTree(8)_num-slots1
weka.Bagging_REPTree(8)_I10
weka.Bagging_REPTree(8)_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
0.8639
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7638
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5278
Cross-validation details (10-fold Crossvalidation)
KB relative information score
95.7668
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3245
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
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
0.7647
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.764
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.764
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.649
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.391
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.782
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.695