Run
27461

Run 27461

Task 2072 (Supervised Classification) covertype Uploaded 08-10-2014 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_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I20
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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.

21 Evaluation measures

Area under ROC curve
0.9488
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
1256.1431
Cross-validation details (10-fold Crossvalidation)
Build memory
1550787656.8937
Cross-validation details (10-fold Crossvalidation)
F measure
0.8812
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8194
Cross-validation details (10-fold Crossvalidation)
KB relative information score
79146.7751
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0619
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1853
Cross-validation details (10-fold Crossvalidation)
Number of instances
110393
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
0.884
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8856
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.8698
Cross-validation details (10-fold Crossvalidation)
Recall
0.8856
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3339
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3044
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1682
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5527
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.1103