DEVELOPMENT... OpenML
Run
118549

Run 118549

Task 2121 (Supervised Classification) abalone 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)_I10
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
0.7301
Per class
Build CPU time
2.088
Build memory
928719136
F measure
0.2157
Per class
Kappa
0.1533
KB relative information score
298.4438
Mean absolute error
0.0567
Mean prior absolute error
0.0618
Number of instances
1378
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2046
Per class
Predictive accuracy
0.2591
Prior entropy
3.6268
Recall
0.2591
Per class
Relative absolute error
0.9185
Root mean prior squared error
0.1757
Root mean squared error
0.17
Root relative squared error
0.9673
SciMark benchmark
916.8516