Run
144506

Run 144506

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 31-01-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_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.

22 Evaluation measures

Area under ROC curve
0.8115
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8373
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2726
Cross-validation details (10-fold Crossvalidation)
KB relative information score
76.3975
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1671
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
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
0.8307
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8569
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8569
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.679
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3343
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9545
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.4202
UserCPU time millis
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)