DEVELOPMENT... OpenML
Run
117937

Run 117937

Task 40 (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)_I20
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
0.8982
Per class
Build CPU time
0.7823
Build memory
949759364.0374
F measure
0.7469
Per class
Kappa
0.6585
KB relative information score
140.0589
Mean absolute error
0.0753
Mean prior absolute error
0.2116
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7484
Per class
Predictive accuracy
0.7523
Prior entropy
2.2315
Recall
0.7523
Per class
Relative absolute error
0.3559
Root mean prior squared error
0.3244
Root mean squared error
0.2508
Root relative squared error
0.7731
SciMark benchmark
916.8516

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