Run
1815006

Run 1815006

Task 125876 (Learning Curve) autoUniv-au6-750 Uploaded 08-09-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_MultilayerPerceptron(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.MultilayerPerceptron(4)_L0.3
weka.MultilayerPerceptron(4)_M0.2
weka.MultilayerPerceptron(4)_N500
weka.MultilayerPerceptron(4)_V0
weka.MultilayerPerceptron(4)_S0
weka.MultilayerPerceptron(4)_E20
weka.MultilayerPerceptron(4)_H10
weka.Bagging_MultilayerPerceptron(3)_P100
weka.Bagging_MultilayerPerceptron(3)_S1
weka.Bagging_MultilayerPerceptron(3)_num-slots1
weka.Bagging_MultilayerPerceptron(3)_I10
weka.Bagging_MultilayerPerceptron(3)_Wweka.classifiers.functions.MultilayerPerceptron

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
0.5171 ± 0.0387
Per class
F measure
0.185 ± 0.0351
Per class
Kappa
0.0488 ± 0.0455
KB relative information score
74.7244 ± 1.8115
Mean absolute error
0.2107 ± 0.005
Mean prior absolute error
0.2137 ± 0.0003
Number of instances
750
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.1761 ± 0.0413
Per class
Predictive accuracy
0.208 ± 0.0383
Prior entropy
2.8958
Recall
0.208 ± 0.0383
Per class
Relative absolute error
0.9858 ± 0.0235
Root mean prior squared error
0.3269 ± 0.0005
Root mean squared error
0.3464 ± 0.0071
Root relative squared error
1.0596 ± 0.022
SciMark benchmark
1296.0585
UserCPU time millis
48780
UserCPU time millis testing
90
UserCPU time millis training
48690