DEVELOPMENT... OpenML
Run
162124

Run 162124

Task 3762 (Supervised Classification) analcatdata_negotiation 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)_I10
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
0.8832
Per class
F measure
0.8833
Per class
Kappa
0.7214
KB relative information score
59.8418
Mean absolute error
0.1329
Mean prior absolute error
0.4075
Number of instances
92
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8918
Per class
Predictive accuracy
0.8804
Prior entropy
0.8651
Recall
0.8804
Per class
Relative absolute error
0.3261
Root mean prior squared error
0.4503
Root mean squared error
0.3396
Root relative squared error
0.7541
SciMark benchmark
938.4278