Run
59466

Run 59466

Task 2098 (Learning Curve) abalone Uploaded 15-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_IBk(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0
weka.MultiBoostAB_IBk(2)_C3
weka.MultiBoostAB_IBk(2)_P100
weka.MultiBoostAB_IBk(2)_S1
weka.MultiBoostAB_IBk(2)_I10
weka.MultiBoostAB_IBk(2)_Wweka.classifiers.lazy.IBk

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.

19 Evaluation measures

Area under ROC curve
0.552 ± 0.0066
Per class
Build CPU time
0.1619
Build memory
1275741250.0308
Kappa
0.1046 ± 0.0131
KB relative information score
0.1486 ± 0.0131
Mean absolute error
0.0553 ± 0.0008
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Predictive accuracy
0.1989 ± 0.0114
Prior entropy
3.6031 ± 0.0188
Recall
0.1989 ± 0.0114
Per class
Relative absolute error
0.8955 ± 0.0127
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.2341 ± 0.0017
Root relative squared error
1.3325 ± 0.0096
SciMark benchmark
947.0414