DEVELOPMENT... OpenML
Run
164027

Run 164027

Task 221 (Supervised Classification) Hyperplane_10_1E-4 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
0.9181 ± 0.0012
Per class
F measure
0.8523 ± 0.0015
Per class
Kappa
0.7046 ± 0.003
KB relative information score
0.6721 ± 0.0029
Mean absolute error
0.0672 ± 0.0006
Mean prior absolute error
0.2 ± 0
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
0.8523 ± 0.0015
Per class
Predictive accuracy
0.8523 ± 0.0015
Prior entropy
1 ± 0
Recall
0.8523 ± 0.0015
Per class
Relative absolute error
0.3361 ± 0.0028
Root mean prior squared error
0.3162 ± 0
Root mean squared error
0.2151 ± 0.0011
Root relative squared error
0.6801 ± 0.0034
SciMark benchmark
936.7115
UserCPU time millis
875820
UserCPU time millis testing
5220
UserCPU time millis training
870600