DEVELOPMENT... OpenML
Run
39261

Run 39261

Task 1904 (Supervised Classification) mushroom Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I40
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
1
Per class
Build CPU time
0.2915
Build memory
1099850771.2773
F measure
0.9991
Per class
Kappa
0.9982
KB relative information score
78863.4751
Mean absolute error
0.0188
Mean prior absolute error
0.4994
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
0.9991
Per class
Predictive accuracy
0.9991
Prior entropy
0.9991
Recall
0.9991
Per class
Relative absolute error
0.0377
Root mean prior squared error
0.4997
Root mean squared error
0.05
Root relative squared error
0.1002
SciMark benchmark
941.9633