Run
55224

Run 55224

Task 1723 (Learning Curve) mushroom Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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.

21 Evaluation measures

Area under ROC curve
0.98 ± 0.0065
Per class
Build CPU time
0.014
Build memory
271977942.7733
F measure
0.9381 ± 0.0347
Per class
Kappa
0.876 ± 0.0685
KB relative information score
0.8454 ± 0.0388
Mean absolute error
0.0785 ± 0.0178
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9381 ± 0.0297
Per class
Predictive accuracy
0.9381 ± 0.0345
Prior entropy
0.9991 ± 0.0001
Recall
0.9381 ± 0.0345
Per class
Relative absolute error
0.1573 ± 0.0357
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.2278 ± 0.0324
Root relative squared error
0.4558 ± 0.0649
SciMark benchmark
1910.4834