So I observed from some debugging that the `actualValues`

(and possibly `probabilities`

), obtained as a consequence of running the code at http://nupic.docs.numenta.org/1.0.5/quick-start/network.html#getting-predictions (quoted below), **do not produce correct values.**

```
def getPredictionResults(network, clRegionName):
"""Helper function to extract results for all prediction steps."""
classifierRegion = network.regions[clRegionName]
actualValues = classifierRegion.getOutputData("actualValues")
probabilities = classifierRegion.getOutputData("probabilities")
steps = classifierRegion.getSelf().stepsList
N = classifierRegion.getSelf().maxCategoryCount
results = {step: {} for step in steps}
for i in range(len(steps)):
# stepProbabilities are probabilities for this prediction step only.
stepProbabilities = probabilities[i * N:(i + 1) * N - 1]
mostLikelyCategoryIdx = stepProbabilities.argmax()
predictedValue = actualValues[mostLikelyCategoryIdx]
predictionConfidence = stepProbabilities[mostLikelyCategoryIdx]
results[steps[i]]["predictedValue"] = predictedValue
results[steps[i]]["predictionConfidence"] = predictionConfidence
return results
```

`actualValues`

is supposed to be a map from bucket index to an estimate of the actual input value that encoder will see in that bucket and `probabilities`

is supposed to be a map from bucket index to probability.

Let me show you the output `actualValues`

and `probabilities`

for first couple of values.

first input is 0.5 (corresponds to a bucket index of ‘89’)

second input is 0.53270155 (corresponding to a bucket index of ‘94’)

A more detailed view of `actualValues`

shows that all the values till index 88 are 0.53270155 and 89th value is 0.5 and rest are 0.0. Similarly, `probabilities`

are all 0.011111 till index 89 and rest are 0.0.

It seems that any bucket that is not yet seen is filled by the most recent value in `actualValues`

. I am not sure about the exact calculations of probabilities but if the same kind of problem is going on with `probabilities`

then it will cause problems with the “predictionConfidence”