DEVELOPMENT... OpenML
Run
163135

Run 163135

Task 50 (Supervised Classification) heart-h 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
0.8967
Per class
F measure
0.8184
Per class
Kappa
0.6
KB relative information score
162.3135
Mean absolute error
0.0739
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8222
Per class
Predictive accuracy
0.8231
Prior entropy
1.0314
Recall
0.8231
Per class
Relative absolute error
0.3956
Root mean prior squared error
0.3037
Root mean squared error
0.2539
Root relative squared error
0.8361
SciMark benchmark
876.8277
UserCPU time millis
20
UserCPU time millis training
20