DEVELOPMENT... OpenML
Run
118178

Run 118178

Task 3653 (Supervised Classification) triazines 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
0.8648
Per class
Build CPU time
1.4858
Build memory
240994867.2258
F measure
0.8056
Per class
Kappa
0.598
KB relative information score
106.1543
Mean absolute error
0.2075
Mean prior absolute error
0.4854
Number of instances
186
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8055
Per class
Predictive accuracy
0.8065
Prior entropy
0.979
Recall
0.8065
Per class
Relative absolute error
0.4275
Root mean prior squared error
0.4925
Root mean squared error
0.4172
Root relative squared error
0.8469
SciMark benchmark
913.3372