DEVELOPMENT... OpenML
Run
164342

Run 164342

Task 3807 (Supervised Classification) echoMonths Uploaded 17-02-2015 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)_I80
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
0.8107
Per class
F measure
0.7194
Per class
Kappa
0.4442
KB relative information score
57.908
Mean absolute error
0.277
Mean prior absolute error
0.4999
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.733
Per class
Predictive accuracy
0.7231
Prior entropy
0.9998
Recall
0.7231
Per class
Relative absolute error
0.5542
Root mean prior squared error
0.4999
Root mean squared error
0.4987
Root relative squared error
0.9976
SciMark benchmark
943.2817
UserCPU time millis
20
UserCPU time millis training
20