DEVELOPMENT... OpenML
Run
164264

Run 164264

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.7775
Per class
F measure
0.6777
Per class
Kappa
0.3545
KB relative information score
33.2268
Mean absolute error
0.3078
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.678
Per class
Predictive accuracy
0.6782
Prior entropy
0.9992
Recall
0.6782
Per class
Relative absolute error
0.6164
Root mean prior squared error
0.4997
Root mean squared error
0.5172
Root relative squared error
1.0351
SciMark benchmark
936.7115
UserCPU time millis
20
UserCPU time millis training
20