DEVELOPMENT... OpenML
Run
162047

Run 162047

Task 3681 (Supervised Classification) puma8NH 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)_I10
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
0.8099
Per class
F measure
0.7459
Per class
Kappa
0.4931
KB relative information score
3792.7326
Mean absolute error
0.2717
Mean prior absolute error
0.5
Number of instances
8192
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7491
Per class
Predictive accuracy
0.7465
Prior entropy
1
Recall
0.7465
Per class
Relative absolute error
0.5433
Root mean prior squared error
0.5
Root mean squared error
0.464
Root relative squared error
0.9281
SciMark benchmark
938.9865
UserCPU time millis
370
UserCPU time millis testing
10
UserCPU time millis training
360