DEVELOPMENT... OpenML
Run
163528

Run 163528

Task 3722 (Supervised Classification) hungarian 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
172.8509
Mean absolute error
0.1846
Mean prior absolute error
0.4614
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
0.9439
Recall
0.8231
Per class
Relative absolute error
0.4002
Root mean prior squared error
0.4802
Root mean squared error
0.4015
Root relative squared error
0.8361
SciMark benchmark
911.3823
UserCPU time millis
30
UserCPU time millis training
30