DEVELOPMENT... OpenML
Run
163034

Run 163034

Task 2257 (Supervised Classification) BNG(cylinder-bands) 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
0.712
Per class
F measure
0.6463
Per class
Kappa
0.2706
KB relative information score
248269.0721
Mean absolute error
0.3675
Mean prior absolute error
0.4878
Number of instances
1000000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6487
Per class
Predictive accuracy
0.654
Prior entropy
0.9823
Recall
0.654
Per class
Relative absolute error
0.7534
Root mean prior squared error
0.4939
Root mean squared error
0.4747
Root relative squared error
0.9611
SciMark benchmark
945.6434
UserCPU time millis
555020
UserCPU time millis testing
1590
UserCPU time millis training
553430