finallywe can zip them back together and just print them out side by side and see how well it doesqsfejdujpo"oe-bcfm qsfejdujpot[jq mbcfmt dpmmfdu gpsqsfejdujpojoqsfejdujpo"oe-bcfm qsjou qsfejdujpo tqbsltupq this is kind of convoluted way of doing iti did this to be more consistent with the previous examplebut simpler approach would be to just actually select prediction and label together into single rdd that maps out those two columns together and then don' have to zip them upbut either way it works you'll also note that right at the end there we need to stop the spark session so let' see if it works let' go up to toolscanopy command promptand we'll type in tqbsltvcnju qbsl-jofbs fhsfttjpoqz and let' see what happens there' little bit more upfront time to actually run these apis with datasetsbut once they get goingthey're very fast alrightthere you have it