Run
73105

Run 73105

Task 3595 (Supervised Classification) visualizing_slope Uploaded 01-12-2014 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_OneR(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_OneR(2)_I10
weka.Bagging_OneR(2)_P100
weka.Bagging_OneR(2)_S1
weka.Bagging_OneR(2)_Wweka.classifiers.rules.OneR
weka.Bagging_OneR(2)_num-slots1
weka.OneR(3)_B6

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
0.9368
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0009
Cross-validation details (10-fold Crossvalidation)
Build memory
1047971800
Cross-validation details (10-fold Crossvalidation)
F measure
0.9062
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7995
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23.6559
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2341
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4753
Cross-validation details (10-fold Crossvalidation)
Number of instances
44
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
0.9208
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9091
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9656
Cross-validation details (10-fold Crossvalidation)
Recall
0.9091
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4925
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4869
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3166
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6502
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
942.3187