DEVELOPMENT... OpenML
Run
162034

Run 162034

Task 3671 (Supervised Classification) fri_c3_1000_50 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
0.8108
Per class
F measure
0.7288
Per class
Kappa
0.4552
KB relative information score
422.0753
Mean absolute error
0.2871
Mean prior absolute error
0.494
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.733
Per class
Predictive accuracy
0.728
Prior entropy
0.9913
Recall
0.728
Per class
Relative absolute error
0.5813
Root mean prior squared error
0.497
Root mean squared error
0.4593
Root relative squared error
0.9242
SciMark benchmark
938.4278
UserCPU time millis
210
UserCPU time millis training
210