Run
43992

Run 43992

Task 267 (Supervised Classification) diabetes 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)_I160
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
0.7828
Per class
Cross-validation details (33% Holdout set)
Build CPU time
2.881
Cross-validation details (33% Holdout set)
Build memory
2090161016
Cross-validation details (33% Holdout set)
F measure
0.7415
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4383
Cross-validation details (33% Holdout set)
KB relative information score
106.6055
Cross-validation details (33% Holdout set)
Mean absolute error
0.2597
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4589
Cross-validation details (33% Holdout set)
Number of instances
253
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7404
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7431
Cross-validation details (33% Holdout set)
Prior entropy
0.9335
Cross-validation details (33% Holdout set)
Recall
0.7431
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5659
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4813
Cross-validation details (33% Holdout set)
Root mean squared error
0.4978
Cross-validation details (33% Holdout set)
Root relative squared error
1.0343
Cross-validation details (33% Holdout set)
SciMark benchmark
946.2416