Showing Predictor "NACD L2-reg Log+L2-loss noFS"

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Notes:

Same as #2105 - but using Log-Likelihood&L2ML

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Options
Regularization: L2	Tuning Score: avg marginal l1-loss
Time Points: 50	Tune Parameters: true
Feature Selection: false	Include Sibling Features: false
Standardize: false	Run Cross-Validation: true
Objective Function: log-likelihood & L2ML	Marginal Loss Type: weighted
Use pre-defined Fold: No

Results
Start Time: 2016-07-01 19:06:43 -0600	Used Time: 35 minutes
Label Name: SURVIVAL	C Parameter: 1.0
PSSP model: mtlr_model_file2124.mtlr	Version: 0.0.1

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Cross-validation results

5-Fold Cross-Validation Statistics*
Measure	PSSP Predictor (median)	PSSP Predictor (mean)	K-M Predictor
Concordance Index	0.76 ± 0.0		0.5 ± 0.0
Hinged L1 Loss	9.53 ± 0.31		13.28 ± 0.05
Uncensored L1 loss	9.92 ± 0.28		12.18 ± 0.05
Marginal L1 Loss	15.61 ± 0.33		20.72 ± 0.14
Marginal L2 Loss	N / A
Hinged L1 Log-Loss	0.56 ± 0.02		0.79 ± 0.01
Uncensored L1 Log-Loss	0.72 ± 0.01		0.97 ± 0.01
Marginal L1 Log-Loss	0.73 ± 0.02		1.01 ± 0.01
Log-Likelihood Loss	2.66 ± 0.07
D-calibration χ² statistics	18.5 ± 4.83		0.97 ± 0.12
D-calibration χ² p-value	0.53 ± 0.24		1.0 ± 0.0

*Mean value ± standard deviation.

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