Run
434709

Run 434709

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)_I40
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
0.813 ± 0.0514
Per class
F measure
0.7481 ± 0.0508
Per class
Kappa
0.4369 ± 0.1153
KB relative information score
0.4265 ± 0.0976
Mean absolute error
0.2518 ± 0.0416
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
0.7476 ± 0.0518
Per class
Predictive accuracy
0.7539 ± 0.047
Prior entropy
0.9331 ± 0.0044
Recall
0.7539 ± 0.047
Per class
Relative absolute error
0.554 ± 0.0917
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4623 ± 0.0459
Root relative squared error
0.97 ± 0.0964
SciMark benchmark
912.4377
UserCPU time millis
60
UserCPU time millis training
60