Run
434736

Run 434736

Task 83 (Learning Curve) mushroom 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)_I40
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.

22 Evaluation measures

Area under ROC curve
0.9971 ± 0.0017
Per class
F measure
0.9742 ± 0.006
Per class
Kappa
0.9483 ± 0.0119
KB relative information score
0.9484 ± 0.011
Mean absolute error
0.0258 ± 0.0054
Mean prior absolute error
0.4994 ± 0
Number of instances
81240
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9742 ± 0.006
Per class
Predictive accuracy
0.9742 ± 0.006
Prior entropy
0.9991 ± 0
Recall
0.9742 ± 0.006
Per class
Relative absolute error
0.0517 ± 0.0109
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.1515 ± 0.017
Root relative squared error
0.3032 ± 0.0341
SciMark benchmark
903.7946
UserCPU time millis
370
UserCPU time millis testing
20
UserCPU time millis training
350