Run
40929

Run 40929

Task 4280 (Supervised Classification) sleuth_ex2016 Uploaded 29-10-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.7395
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Build CPU time
0.245
Cross-validation details (10 times 10-fold Crossvalidation)
Build memory
1652815149.2874
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7399
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4632
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
394.4819
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.262
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4855
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
870
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7396
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7402
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9794
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7402
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5396
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4925
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5086
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0326
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
909.9339