Add model predictions

benchmarking/matbench/results/metrics/perovskites/prob/matbench_perovskites-100-0/metrics.csv

@@ -1,7 +1,7 @@
 ,0
-nll,-3171.854326599779
-sharpness,0.1464632610209496
-variation,0.0668022354935111
-mae,0.05860692641771554
-mse,0.0072759152604544635
-rmse,0.08529897572922235
+nll,-3171.8540732051724
+sharpness,0.14646325494048992
+variation,0.06680225375026387
+mae,0.05860692061477788
+mse,0.007275915051778311
+rmse,0.08529897450601802

benchmarking/matbench/results/metrics/perovskites/prob/matbench_perovskites-100-0/val-metrics-2022.06.24.16.16.00.csv

@@ -0,0 +1,7 @@
+,0
+nll,-625.112004807598
+sharpness,0.14692264731896817
+variation,0.07904824702347016
+mae,0.05737590640896092
+mse,0.0076101603929093296
+rmse,0.08723623325722707

benchmarking/matbench/results/metrics/perovskites/prob/matbench_perovskites-100-1/metrics.csv

@@ -1,7 +1,7 @@
 ,0
-nll,-3040.080900898984
-sharpness,0.1410159245221959
-variation,0.06951748705145898
-mae,0.06957198204435913
-mse,0.009688912569703988
-rmse,0.0984322740248542
+nll,-3040.649378790641
+sharpness,0.141014484253851
+variation,0.06945765527180832
+mae,0.06954177476542028
+mse,0.009682879815461343
+rmse,0.09840162506514485

benchmarking/matbench/results/metrics/perovskites/prob/matbench_perovskites-100-1/val-metrics-2022.06.23.16.30.03.csv

@@ -0,0 +1,7 @@
+,0
+nll,-644.782736074262
+sharpness,0.1400028817288066
+variation,0.024429019685080704
+mae,0.0658650896849907
+mse,0.007826916064479997
+rmse,0.08846985963863624

benchmarking/matbench/results/metrics/perovskites/prob/matbench_perovskites-100-2/metrics.csv

@@ -1,7 +1,7 @@
 ,0
-nll,-3854.478100119898
-sharpness,0.1131037117661296
-variation,0.16183759943432532
-mae,0.058274271979578095
-mse,0.00687423010005872
-rmse,0.0829109769575701
+nll,-3854.3778111384822
+sharpness,0.11310556017543177
+variation,0.16190198776702105
+mae,0.058287804124489376
+mse,0.006874543982554624
+rmse,0.08291286982462145

benchmarking/matbench/results/metrics/perovskites/prob/matbench_perovskites-100-2/val-metrics-2022.06.23.16.33.58.csv

@@ -0,0 +1,7 @@
+,0
+nll,-764.8152795529834
+sharpness,0.11283307961766442
+variation,0.16936067946451264
+mae,0.05731681246720316
+mse,0.006858972124682125
+rmse,0.08281891163666741

benchmarking/matbench/results/metrics/perovskites/prob/matbench_perovskites-100-3/metrics.csv

@@ -1,7 +1,7 @@
 ,0
-nll,-3819.349557750498
-sharpness,0.11006687253952145
-variation,0.08306440329728342
-mae,0.05971151535402427
-mse,0.006892787288930445
-rmse,0.0830228118587322
+nll,-3819.3476605799733
+sharpness,0.11006687537743244
+variation,0.08306439374795258
+mae,0.05971151392887952
+mse,0.0068927999060835275
+rmse,0.08302288784475957