Use strict values for the results to store

Otherwise, you also have the non-normalized features included, and you'd
have to filter them out when doing the training, which I don't really
want to do.

core/src/main/kotlin/se/lth/cs/SyntheticBenchmarkExperimentPrinter.kt

@@ -15,7 +15,7 @@ class SyntheticBenchmarkExperimentPrinter (out : Writer,
 
     override fun printBenchmarkRows(syntheticBenchmark: BCBenchmarkPackage<*>) {
         val exp = Experiment(numberRuns, syntheticBenchmark, features, papiRunner)
-        val results = exp.run()
+        val results = exp.run().map { it.strict() }
         results.forEach {
             it.values.entries.forEach { entry ->
                 printer.printRecord(