Run
434812

Run 434812

Task 96 (Learning Curve) diabetes Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

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

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
0.8205 ± 0.049
Per class
F measure
0.7487 ± 0.0498
Per class
Kappa
0.4382 ± 0.1137
KB relative information score
0.432 ± 0.0949
Mean absolute error
0.249 ± 0.0405
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7484 ± 0.0511
Per class
Predictive accuracy
0.7547 ± 0.0463
Prior entropy
0.9331 ± 0.0044
Recall
0.7547 ± 0.0463
Per class
Relative absolute error
0.5478 ± 0.0894
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4564 ± 0.0431
Root relative squared error
0.9575 ± 0.0908
SciMark benchmark
938.0833
UserCPU time millis
120
UserCPU time millis training
120