DEVELOPMENT... OpenML
Run
117840

Run 117840

Task 3830 (Supervised Classification) cars 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
0.9624
Per class
Build CPU time
26.0912
Build memory
130740545.6552
F measure
0.9165
Per class
Kappa
0.8222
KB relative information score
329.4448
Mean absolute error
0.0862
Mean prior absolute error
0.4686
Number of instances
406
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9169
Per class
Predictive accuracy
0.9163
Prior entropy
0.9544
Recall
0.9163
Per class
Relative absolute error
0.184
Root mean prior squared error
0.484
Root mean squared error
0.2818
Root relative squared error
0.5823
SciMark benchmark
937.279