DEVELOPMENT... OpenML
Run
163868

Run 163868

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)_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
0.893
Per class
F measure
0.8479
Per class
Kappa
0.6917
KB relative information score
178.5755
Mean absolute error
0.1684
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
0.8479
Per class
Predictive accuracy
0.8481
Prior entropy
0.9912
Recall
0.8481
Per class
Relative absolute error
0.3409
Root mean prior squared error
0.4969
Root mean squared error
0.3777
Root relative squared error
0.7602
SciMark benchmark
926.6717
UserCPU time millis
60
UserCPU time millis training
60