DEVELOPMENT... OpenML
Run
162410

Run 162410

Task 52 (Supervised Classification) heart-statlog 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)_I20
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
0.8909
Per class
F measure
0.8367
Per class
Kappa
0.6689
KB relative information score
176.9041
Mean absolute error
0.1714
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8368
Per class
Predictive accuracy
0.837
Prior entropy
0.9912
Recall
0.837
Per class
Relative absolute error
0.347
Root mean prior squared error
0.4969
Root mean squared error
0.3732
Root relative squared error
0.7511
SciMark benchmark
939.7623
UserCPU time millis
20
UserCPU time millis training
20