DEVELOPMENT... OpenML
Run
144504

Run 144504

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_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.

22 Evaluation measures

Area under ROC curve
0.5292
Per class
F measure
0.5796
Per class
Kappa
0.1591
KB relative information score
10.5025
Mean absolute error
0.4432
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5798
Per class
Predictive accuracy
0.5795
Prior entropy
0.9996
Recall
0.5795
Per class
Relative absolute error
0.8868
Root mean prior squared error
0.4999
Root mean squared error
0.6309
Root relative squared error
1.2622
SciMark benchmark
931.4202
UserCPU time millis
10
UserCPU time millis training
10