DEVELOPMENT... OpenML
Run
162888

Run 162888

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)_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
0.8262
Per class
F measure
0.7339
Per class
Kappa
0.4748
KB relative information score
65.505
Mean absolute error
0.2471
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
0.7529
Per class
Predictive accuracy
0.7385
Prior entropy
0.9998
Recall
0.7385
Per class
Relative absolute error
0.4944
Root mean prior squared error
0.4999
Root mean squared error
0.4628
Root relative squared error
0.9256
SciMark benchmark
934.5243
UserCPU time millis
10
UserCPU time millis training
10