DEVELOPMENT... OpenML
Run
163612

Run 163612

Task 3807 (Supervised Classification) echoMonths 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
0.8247
Per class
F measure
0.7558
Per class
Kappa
0.5208
KB relative information score
66.8024
Mean absolute error
0.2444
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
0.785
Per class
Predictive accuracy
0.7615
Prior entropy
0.9998
Recall
0.7615
Per class
Relative absolute error
0.4888
Root mean prior squared error
0.4999
Root mean squared error
0.461
Root relative squared error
0.9222
SciMark benchmark
911.3823
UserCPU time millis
20
UserCPU time millis training
20