DEVELOPMENT... OpenML
Run
163558

Run 163558

Task 3754 (Supervised Classification) sleuth_case1202 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
0.8655
Per class
F measure
0.8408
Per class
Kappa
0.6782
KB relative information score
60.8273
Mean absolute error
0.1619
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8663
Per class
Predictive accuracy
0.8387
Prior entropy
0.9645
Recall
0.8387
Per class
Relative absolute error
0.3408
Root mean prior squared error
0.4871
Root mean squared error
0.3802
Root relative squared error
0.7805
SciMark benchmark
936.6206
UserCPU time millis
10
UserCPU time millis training
10