Run
434805

Run 434805

Task 99 (Learning Curve) glass Uploaded 12-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I80
weka.MultiBoostAB_DecisionStump(3)_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.

20 Evaluation measures

Area under ROC curve
0.6593 ± 0.0398
Per class
Kappa
0.24 ± 0.0428
KB relative information score
0.283 ± 0.0292
Mean absolute error
0.1825 ± 0.0044
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.4477 ± 0.032
Prior entropy
2.1835 ± 0.0748
Recall
0.4477 ± 0.032
Per class
Relative absolute error
0.8628 ± 0.0189
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.3029 ± 0.0078
Root relative squared error
0.9337 ± 0.0223
SciMark benchmark
903.7946
UserCPU time millis
10
UserCPU time millis training
10