DEVELOPMENT... OpenML
Run
162601

Run 162601

Task 3522 (Supervised Classification) tr11.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
0.6496
Per class
F measure
0.3339
Per class
Kappa
0.2457
KB relative information score
85.3335
Mean absolute error
0.1539
Mean prior absolute error
0.1808
Number of instances
414
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.313
Per class
Predictive accuracy
0.4614
Prior entropy
2.7236
Recall
0.4614
Per class
Relative absolute error
0.8508
Root mean prior squared error
0.3004
Root mean squared error
0.2786
Root relative squared error
0.9274
SciMark benchmark
939.7623
UserCPU time millis
1560
UserCPU time millis training
1560