DEVELOPMENT... OpenML
Run
163137

Run 163137

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)_I40
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
0.8961
Per class
F measure
0.8333
Per class
Kappa
0.6622
KB relative information score
176.539
Mean absolute error
0.1712
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
0.8332
Per class
Predictive accuracy
0.8333
Prior entropy
0.9912
Recall
0.8333
Per class
Relative absolute error
0.3466
Root mean prior squared error
0.4969
Root mean squared error
0.3793
Root relative squared error
0.7633
SciMark benchmark
876.8277
UserCPU time millis
30
UserCPU time millis training
30