DEVELOPMENT... OpenML
Run
117440

Run 117440

Task 270 (Supervised Classification) glass Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I40
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.8937
Per class
Build CPU time
1.017
Build memory
54646976
F measure
0.6898
Per class
Kappa
0.5679
KB relative information score
41.6017
Mean absolute error
0.0918
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7124
Per class
Predictive accuracy
0.6857
Prior entropy
2.2315
Recall
0.6857
Per class
Relative absolute error
0.4314
Root mean prior squared error
0.3261
Root mean squared error
0.2935
Root relative squared error
0.9
SciMark benchmark
924.6733