DEVELOPMENT... OpenML
Run
162609

Run 162609

Task 3530 (Supervised Classification) re1.wc 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
0.6528
Per class
F measure
0.2533
Per class
Kappa
0.2283
KB relative information score
267.844
Mean absolute error
0.0629
Mean prior absolute error
0.071
Number of instances
1657
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1978
Per class
Predictive accuracy
0.3959
Prior entropy
3.8125
Recall
0.3959
Per class
Relative absolute error
0.8856
Root mean prior squared error
0.1883
Root mean squared error
0.1773
Root relative squared error
0.9418
SciMark benchmark
938.4285
UserCPU time millis
2620
UserCPU time millis testing
10
UserCPU time millis training
2610