Question: Programming language R Please use program RStudio for this question ** Predicting room occupancy by using decision tree and random forests classication algorithms.

** Programming language R ** Please use program RStudio for this question **

Predicting room occupancy by using decision tree and random forests classication algorithms.

(a) Load the room occupancy training and testing datasets. Train a decision tree classier and evaluate the predictive performance by reporting the classication accuracy obtained on the testing dataset.

(b) Output and analyse the tree learned by the decision tree algorithm, i.e. plot the tree structure and make a discussion about it.

(c) Train a random forests classier and evaluate the predictive performance by reporting the classication accuracy obtained on the testing dataset. Dene set.seed(1).

(d) Output and analyse the feature importance obtained by the random forests classier.

Room Occupancy Training dataset

Temperature,Humidity,Light,CO2,HumidityRatio,Occupancy 23.18,27.272,426,721.25,0.0047929882,1 23.15,27.2675,429.5,714,0.0047834409,1 23.15,27.245,426,713.5,0.0047794635,1 23.15,27.2,426,708.25,0.0047715088,1 23.1,27.2,426,704.5,0.0047569929,1 23.1,27.2,419,701,0.0047569929,1 23.1,27.2,419,701.6666666667,0.0047569929,1 23.1,27.2,419,699,0.0047569929,1 23.1,27.2,419,689.3333333333,0.0047569929,1 23.075,27.175,419,688,0.0047453507,1 23.075,27.15,419,690.25,0.0047409519,1 23.1,27.1,419,691,0.0047393707,1 23.1,27.1666666667,419,683.5,0.0047511188,1 23.05,27.15,419,687.5,0.0047337318,1 23,27.125,419,686,0.0047149421,1

Room Occupancy Testing dataset

Temperature,Humidity,Light,CO2,HumidityRatio,Occupancy 21.89,31.55,436.5,1047,0.0051296601,0 21.89,31.36,434,1031,0.0050985151,0 21.89,31.125,432.75,977.5,0.005059998,0 21.7,28.5,279.3333333333,585,0.0045762473,1 20.6,21.865,454,652.5,0.003274764,0 20.6,22.2,442.75,681.75,0.0033252058,0 20.6,22.26,444,702.3333333333,0.003334241,0 20.6333333333,22.26,444,707,0.0033411368,0 23.675,22.745,289,795.75,0.0041141013,1 24.2,23.0225,497,722,0.004299052,0 24.39,23.3925,236.5,852.5,0.0044190169,1 24.2,23.7,630,734,0.0044264636,0 24.2,23.745,690.5,729,0.0044349282,0 23.7,24.43,87,599.6666666667,0.004427757,1 22.39,26,191.5,534.5,0.0043526661,1

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Question: ** Programming language R ** Please use program RStudio for this question ** Predicting room occupancy by using decision tree and random forests classication algorithms.

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Question: Programming language R Please use program RStudio for this question ** Predicting room occupancy by using decision tree and random forests classication algorithms.