DEVELOPMENT... OpenML
Run
163855

Run 163855

Task 37 (Supervised Classification) diabetes Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_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
0.8275
Per class
F measure
0.7515
Per class
Kappa
0.4454
KB relative information score
335.5734
Mean absolute error
0.2467
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7507
Per class
Predictive accuracy
0.7565
Prior entropy
0.9335
Recall
0.7565
Per class
Relative absolute error
0.5428
Root mean prior squared error
0.4766
Root mean squared error
0.4493
Root relative squared error
0.9426
SciMark benchmark
938.4278
UserCPU time millis
140
UserCPU time millis training
140