{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "223810fd-84a1-40f9-a303-2a64403b49fe", "metadata": {}, "source": [ "# 1. Evaluating supervised learners in CapyMOA\n", "\n", "This notebook further explores **high-level evaluation functions**, **data abstraction** and **classifiers**.\n", "\n", "* **High-level evaluation functions**\n", " * We demonstrate how to use ```prequential_evaluation()``` and how to further encapsulate prequential evaluation using ```prequential_evaluation_multiple_learners```.\n", " * We also discuss particularities about how these evaluation functions relate to how research has developed in the field, and how evaluation is commonly performed and presented.\n", "\n", "* **Supervised Learning**\n", " * We clarify important information concerning the usage of **classifiers** and their predictions.\n", " * We added some examples using **regressors**, which highlight the fact that the evaluation is identical to **classifiers** (i.e. same high-level evaluation functions).\n", " \n", "---\n", "\n", "*More information about CapyMOA can be found at* https://www.capymoa.org.\n", "\n", "**last update on 28/11/2025**" ] }, { "attachments": {}, "cell_type": "markdown", "id": "df79e7d7-bde3-4b59-8479-a44247b3c26f", "metadata": {}, "source": [ "## 1.1 The difference between evaluators\n", "\n", "* The following example implements a **while loop** that updates a ```ClassificationWindowedEvaluator``` and a ```ClassificationEvaluator``` for the same learner. \n", "* The ```ClassificationWindowedEvaluator``` updates the metrics according to tumbling windows which 'forgets' older correct and incorrect predictions. This allows us to observe how well the learner performs in shorter windows. \n", "* The ```ClassificationEvaluator``` updates the metrics, taking into account all the correct and incorrect predictions made. It is useful to observe the overall performance after processing hundreds of thousands of instances.\n", "\n", "* **Two important points**:\n", " 1. Regarding **window_size** in ```ClassificationEvaluator```: A ```ClassificationEvaluator``` also allows us to specify a window size, but it only controls the frequency at which cumulative metrics are calculated.\n", " 2. If we access metrics directly (not through ```metrics_per_window()```) in ```ClassificationWindowedEvaluator``` we will be looking at the metrics corresponding to the last window.\n", " \n", "For further insight into the specifics of the evaluators, please refer to the documentation at https://www.capymoa.org." ] }, { "cell_type": "code", "execution_count": 1, "id": "df2d9ca9", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:26:45.015368Z", "iopub.status.busy": "2024-09-23T00:26:45.014637Z", "iopub.status.idle": "2024-09-23T00:26:45.041402Z", "shell.execute_reply": "2024-09-23T00:26:45.039349Z" }, "nbsphinx": "hidden" }, "outputs": [], "source": [ "# This cell is hidden on capymoa.org. See docs/contributing/docs.rst\n", "from util.nbmock import mock_datasets, is_nb_fast\n", "\n", "if is_nb_fast():\n", " mock_datasets()" ] }, { "cell_type": "code", "execution_count": 2, "id": "9b29ce7d-7e76-4741-a728-2bd2e795eb79", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:26:45.049266Z", "iopub.status.busy": "2024-09-23T00:26:45.048500Z", "iopub.status.idle": "2024-09-23T00:26:57.757668Z", "shell.execute_reply": "2024-09-23T00:26:57.757178Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ClassificationWindowedEvaluator] Windowed accuracy reported for every window_size windows\n", "[89.57777777777778, 89.46666666666667, 90.2, 89.71111111111111, 88.68888888888888, 88.48888888888888, 87.6888888888889, 88.88888888888889, 89.28888888888889, 91.06666666666666]\n", "[ClassificationEvaluator] Cumulative accuracy: 89.32953742937853\n" ] } ], "source": [ "from capymoa.datasets import Electricity\n", "from capymoa.evaluation import ClassificationWindowedEvaluator, ClassificationEvaluator\n", "from capymoa.classifier import AdaptiveRandomForestClassifier\n", "\n", "stream = Electricity()\n", "\n", "ARF = AdaptiveRandomForestClassifier(schema=stream.get_schema(), ensemble_size=10)\n", "\n", "# The window_size in ClassificationWindowedEvaluator specifies the amount of instances used per evaluation.\n", "windowedEvaluatorARF = ClassificationWindowedEvaluator(\n", " schema=stream.get_schema(), window_size=4500\n", ")\n", "# The window_size ClassificationEvaluator just specifies the frequency at which the cumulative metrics are stored.\n", "classificationEvaluatorARF = ClassificationEvaluator(\n", " schema=stream.get_schema(), window_size=4500\n", ")\n", "\n", "while stream.has_more_instances():\n", " instance = stream.next_instance()\n", " prediction = ARF.predict(instance)\n", " windowedEvaluatorARF.update(instance.y_index, prediction)\n", " classificationEvaluatorARF.update(instance.y_index, prediction)\n", " ARF.train(instance)\n", "\n", "# Showing only the 'classifications correct (percent)' (i.e. accuracy)\n", "print(\n", " \"[ClassificationWindowedEvaluator] Windowed accuracy reported for every window_size windows\"\n", ")\n", "print(windowedEvaluatorARF.accuracy())\n", "\n", "print(\n", " f\"[ClassificationEvaluator] Cumulative accuracy: {classificationEvaluatorARF.accuracy()}\"\n", ")\n", "# We could report the cumulative accuracy every window_size instances with the following code, but that is normally not very insightful.\n", "# display(classificationEvaluatorARF.metrics_per_window())" ] }, { "cell_type": "markdown", "id": "c61735c4-c41a-443c-be3c-e6cc3b526395", "metadata": {}, "source": [ "## 1.2 High-level evaluation functions\n", "\n", "In CapyMOA, for supervised learning, there is one primary evaluation function designed to handle the manipulation of evaluators, i.e. the `prequential_evaluation()`. This function streamlines the process, ensuring users need not directly update them. Essentially, this function executes the evaluation loop and updates the relevant evaluators:\n", "\n", "* `prequential_evaluation()` utilises `ClassificationEvaluator` and `ClassificationWindowedEvaluator`.\n", "\n", "Previously, CapyMOA included two other functions: `cumulative_evaluation()` and `windowed_evaluation()`. However, since `prequential_evaluation()` incorporates the functionality of both we decided to remove those functions and focus on `prequential_evaluation()`.\n", "It's important to note that `prequential_evaluation()` is applicable to both `Regression` and `Prediction Intervals` besides `Classification`. The functionality and interpretation remain the same across these cases, but the metrics differ.\n", "\n", "**Result of a high-level function**\n", "\n", "* The return from `prequential_evaluation()` is a `PrequentialResults` object which provides access to the `cumulative` and `windowed` metrics as well as some other metrics (like wall-clock and cpu time).\n", "\n", "**Common characteristics for all high-level evaluation functions**\n", "\n", "* `prequential_evaluation()` specifies a `max_instances` parameter, which by default is `None`. Depending on the source of the data (e.g. a real stream or a synthetic stream) the function will never stop! The intuition behind this is that streams are infinite, we process them as such. Therefore, it is a good idea to specify `max_instances` unless you are using a snapshot of a stream (i.e. a `Dataset` like `Electricity`)\n", "\n", "**Evaluation practices in the literature (and practice)**\n", "\n", "Interested readers might want to peruse section **6.1.1 Error Estimation** from [Machine Learning for Data Streams](https://moa.cms.waikato.ac.nz/book-html/) book. We further expand the relationships between the literature and our evaluation functions in the documentation: https://www.capymoa.org." ] }, { "attachments": {}, "cell_type": "markdown", "id": "99802e5d-c85c-448a-86ca-93910a245666", "metadata": {}, "source": [ "### 1.2.1 prequential_evaluation()\n", "\n", "The `prequential_evaluation()` function performs a windowed evaluation and a cumulative evaluation at once. Internally, it maintains a `ClassificationWindowedEvaluator` (for the windowed metrics) and ```ClassificationEvaluator``` (for the cumulative metrics). This allows us to have access to the **cumulative** and **windowed** results without running two separate evaluation functions. \n", "\n", "* The results returned from ```prequential_evaluation()``` allows access to the evaluator objects ```ClassificationWindowedEvaluator``` (attribute `windowed`) and ```ClassificationEvaluator``` (attribute `cumulative`) directly. \n", " \n", "* Notice that the computational overhead of training and assessing the same model twice outweighs the minimum overhead of updating the two evaluators within the function. Thus, it is advisable to use the `prequential_evaluation()` function instead of creating separate `while` loops for evaluation.\n", "\n", "* Advanced users might intuitively request metrics directly from the `results` object, which will return the `cumulative` metrics. For example, assuming `results = prequential_evaluation(...)`, `results.accuracy()` will return the `cumulative` accuracy. \n", "**IMPORTANT**: There are no IDE hints for these metrics as they are accessed dynamically via `__getattr__`. It is advisable that users access metrics explicitly through `results.cumulative` (or `results['cumulative']`) or `results.windowed` (or `results['windowed']`).\n", "\n", "* Invoking `results.metrics_per_window()` from a `results` object will return the dataframe with the `windowed` results.\n", "\n", "* `results.write_to_file()` will output the `cumulative` and `windowed` results to a directory.\n", "\n", "* `results.cumulative.metrics_dict()` will return all the cumulative metrics identifiers and their corresponding values in a dictionary structure.\n", "\n", "* Invoking `plot_windowed_results()` with a `PrequentialResults` object will plot its `windowed` results.\n", "\n", "* For plotting and analysis purposes, one might want to set `store_predictions=True` and `store_y=True` on the `prequential_evaluation()` function, which will include all the predictions and ground truth y in the `PrequentialResults` object. It is important to note that this can be costly in terms of memory depending on the size of the stream." ] }, { "cell_type": "code", "execution_count": 3, "id": "56ad96a5-f8cf-4a49-8817-07c2b284fbe6", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:26:57.759462Z", "iopub.status.busy": "2024-09-23T00:26:57.759272Z", "iopub.status.idle": "2024-09-23T00:26:58.449867Z", "shell.execute_reply": "2024-09-23T00:26:58.449300Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\tDifferent ways of accessing metrics:\n", "results_ht['wallclock']: 0.01917123794555664 results_ht.wallclock(): 0.01917123794555664\n", "results_ht['cpu_time']: 0.06697891199999972 results_ht.cpu_time(): 0.06697891199999972\n", "results_ht.cumulative.accuracy() = 83.85000000000001\n", "results_ht.cumulative['accuracy'] = 83.85000000000001\n", "results_ht['cumulative'].accuracy() = 83.85000000000001\n", "results_ht.accuracy() = 83.85000000000001\n", "\n", "\tAll the cumulative results:\n", "{'instances': 2000.0, 'accuracy': 83.85000000000001, 'kappa': 66.04003700899992, 'kappa_t': -14.946619217081869, 'kappa_m': 59.010152284263974, 'f1_score': 83.03346476507683, 'f1_score_0': 86.77855096193205, 'f1_score_1': 79.25497752087348, 'precision': 83.24177714270593, 'precision_0': 85.82995951417004, 'precision_1': 80.65359477124183, 'recall': 82.82619238745067, 'recall_0': 87.74834437086093, 'recall_1': 77.90404040404042}\n", "\n", "\tAll the windowed results:\n" ] }, { "data": { "text/html": [ "
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instancesaccuracykappakappa_tkappa_mf1_scoref1_score_0f1_score_1precisionprecision_0precision_1recallrecall_0recall_1
0100.089.075.66371731.25000064.51612987.84124491.60305384.05797187.58241892.30769282.85714388.10160490.90909185.294118
1200.080.049.367089-42.85714367.21311578.94736860.00000086.66666788.235294100.00000076.47058871.42857142.857143100.000000
2300.071.016.953036-141.66666729.26829358.51475481.29032335.55555658.11403582.89473733.33333358.92103779.74683538.095238
3400.085.066.637011-36.36363677.94117684.02150477.61194088.72180586.37688289.65517283.09859281.79117168.42105395.161290
4500.087.073.684211-8.33333380.00000087.21859188.49557585.05747187.91666783.33333392.50000086.53151394.33962378.723404
5600.084.064.221825-14.28571454.28571482.96570688.05970175.75757685.61507981.94444489.28571480.47538295.16129065.789474
6700.085.070.00000016.66666770.58823585.88085683.14606786.48648685.00000074.00000096.00000086.78016094.87179578.688525
7800.099.097.95417394.11764797.67441998.98734298.82352999.13043599.137931100.00000098.27586298.83720997.674419100.000000
8900.078.057.446809-15.78947456.86274581.75182580.35714375.00000083.58209067.164179100.00000080.000000100.00000060.000000
91000.096.091.92245650.00000092.72727395.99877595.55555696.36363696.18506597.72727394.64285795.81320593.47826198.148148
101100.083.01.162791-142.8571430.00000050.58301390.60773510.52631650.55555691.11111110.00000050.61050190.10989011.111111
111200.076.010.979228-100.0000007.69230866.74057686.04651214.28571487.75510275.510204100.00000053.846154100.0000007.692308
121300.087.066.529351-62.50000059.37500085.39161791.27516874.50980491.97530983.950617100.00000079.687500100.00000059.375000
131400.091.064.28571457.14285752.63157984.63901794.73684268.96551795.00000090.000000100.00000076.315789100.00000052.631579
141500.092.062.68656742.85714350.00000084.07643395.45454566.66666795.65217491.304348100.00000075.000000100.00000050.000000
151600.089.073.17073221.42857165.62500087.14571792.30769280.70175490.00000088.00000092.00000084.46691297.05882471.875000
161700.089.078.0000008.33333376.08695789.19653589.52381088.42105389.39393985.45454593.33333389.00000094.00000084.000000
171800.072.045.141066-47.3684219.67741977.09424163.15789577.41935581.578947100.00000063.15789573.07692346.153846100.000000
181900.058.024.677188-200.000000-31.25000065.56842158.82352957.14285765.32976888.23529442.42424265.80882444.11764787.500000
192000.086.066.41074926.31578958.82352984.23882090.14084575.86206987.93859684.21052691.66666780.83779096.96969764.705882
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" ], "text/plain": [ " instances accuracy kappa kappa_t kappa_m f1_score \\\n", "0 100.0 89.0 75.663717 31.250000 64.516129 87.841244 \n", "1 200.0 80.0 49.367089 -42.857143 67.213115 78.947368 \n", "2 300.0 71.0 16.953036 -141.666667 29.268293 58.514754 \n", "3 400.0 85.0 66.637011 -36.363636 77.941176 84.021504 \n", "4 500.0 87.0 73.684211 -8.333333 80.000000 87.218591 \n", "5 600.0 84.0 64.221825 -14.285714 54.285714 82.965706 \n", "6 700.0 85.0 70.000000 16.666667 70.588235 85.880856 \n", "7 800.0 99.0 97.954173 94.117647 97.674419 98.987342 \n", "8 900.0 78.0 57.446809 -15.789474 56.862745 81.751825 \n", "9 1000.0 96.0 91.922456 50.000000 92.727273 95.998775 \n", "10 1100.0 83.0 1.162791 -142.857143 0.000000 50.583013 \n", "11 1200.0 76.0 10.979228 -100.000000 7.692308 66.740576 \n", "12 1300.0 87.0 66.529351 -62.500000 59.375000 85.391617 \n", "13 1400.0 91.0 64.285714 57.142857 52.631579 84.639017 \n", "14 1500.0 92.0 62.686567 42.857143 50.000000 84.076433 \n", "15 1600.0 89.0 73.170732 21.428571 65.625000 87.145717 \n", "16 1700.0 89.0 78.000000 8.333333 76.086957 89.196535 \n", "17 1800.0 72.0 45.141066 -47.368421 9.677419 77.094241 \n", "18 1900.0 58.0 24.677188 -200.000000 -31.250000 65.568421 \n", "19 2000.0 86.0 66.410749 26.315789 58.823529 84.238820 \n", "\n", " f1_score_0 f1_score_1 precision precision_0 precision_1 recall \\\n", "0 91.603053 84.057971 87.582418 92.307692 82.857143 88.101604 \n", "1 60.000000 86.666667 88.235294 100.000000 76.470588 71.428571 \n", "2 81.290323 35.555556 58.114035 82.894737 33.333333 58.921037 \n", "3 77.611940 88.721805 86.376882 89.655172 83.098592 81.791171 \n", "4 88.495575 85.057471 87.916667 83.333333 92.500000 86.531513 \n", "5 88.059701 75.757576 85.615079 81.944444 89.285714 80.475382 \n", "6 83.146067 86.486486 85.000000 74.000000 96.000000 86.780160 \n", "7 98.823529 99.130435 99.137931 100.000000 98.275862 98.837209 \n", "8 80.357143 75.000000 83.582090 67.164179 100.000000 80.000000 \n", "9 95.555556 96.363636 96.185065 97.727273 94.642857 95.813205 \n", "10 90.607735 10.526316 50.555556 91.111111 10.000000 50.610501 \n", "11 86.046512 14.285714 87.755102 75.510204 100.000000 53.846154 \n", "12 91.275168 74.509804 91.975309 83.950617 100.000000 79.687500 \n", "13 94.736842 68.965517 95.000000 90.000000 100.000000 76.315789 \n", "14 95.454545 66.666667 95.652174 91.304348 100.000000 75.000000 \n", "15 92.307692 80.701754 90.000000 88.000000 92.000000 84.466912 \n", "16 89.523810 88.421053 89.393939 85.454545 93.333333 89.000000 \n", "17 63.157895 77.419355 81.578947 100.000000 63.157895 73.076923 \n", "18 58.823529 57.142857 65.329768 88.235294 42.424242 65.808824 \n", "19 90.140845 75.862069 87.938596 84.210526 91.666667 80.837790 \n", "\n", " recall_0 recall_1 \n", "0 90.909091 85.294118 \n", "1 42.857143 100.000000 \n", "2 79.746835 38.095238 \n", "3 68.421053 95.161290 \n", "4 94.339623 78.723404 \n", "5 95.161290 65.789474 \n", "6 94.871795 78.688525 \n", "7 97.674419 100.000000 \n", "8 100.000000 60.000000 \n", "9 93.478261 98.148148 \n", "10 90.109890 11.111111 \n", "11 100.000000 7.692308 \n", "12 100.000000 59.375000 \n", "13 100.000000 52.631579 \n", "14 100.000000 50.000000 \n", "15 97.058824 71.875000 \n", "16 94.000000 84.000000 \n", "17 46.153846 100.000000 \n", "18 44.117647 87.500000 \n", "19 96.969697 64.705882 " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from capymoa.evaluation import prequential_evaluation\n", "from capymoa.classifier import HoeffdingTree\n", "from capymoa.datasets import ElectricityTiny\n", "from capymoa.evaluation.visualization import plot_windowed_results\n", "\n", "elec_stream = ElectricityTiny()\n", "ht = HoeffdingTree(schema=elec_stream.get_schema(), grace_period=50)\n", "\n", "results_ht = prequential_evaluation(\n", " stream=elec_stream,\n", " learner=ht,\n", " window_size=100,\n", " optimise=True,\n", " store_predictions=False,\n", " store_y=False,\n", ")\n", "\n", "\n", "print(\"\\tDifferent ways of accessing metrics:\")\n", "\n", "print(\n", " f\"results_ht['wallclock']: {results_ht['wallclock']} results_ht.wallclock(): {results_ht.wallclock()}\"\n", ")\n", "print(\n", " f\"results_ht['cpu_time']: {results_ht['cpu_time']} results_ht.cpu_time(): {results_ht.cpu_time()}\"\n", ")\n", "\n", "print(f\"results_ht.cumulative.accuracy() = {results_ht.cumulative.accuracy()}\")\n", "print(f\"results_ht.cumulative['accuracy'] = {results_ht.cumulative['accuracy']}\")\n", "print(f\"results_ht['cumulative'].accuracy() = {results_ht['cumulative'].accuracy()}\")\n", "print(f\"results_ht.accuracy() = {results_ht.accuracy()}\")\n", "\n", "print(\"\\n\\tAll the cumulative results:\")\n", "print(results_ht.cumulative.metrics_dict())\n", "\n", "print(\"\\n\\tAll the windowed results:\")\n", "display(results_ht.metrics_per_window())\n", "# OR display(results_ht.windowed.metrics_per_window())\n", "\n", "# results_ht.write_to_file() -> this will save the results to a directory\n", "\n", "plot_windowed_results(results_ht, metric=\"accuracy\")" ] }, { "attachments": {}, "cell_type": "markdown", "id": "309212f3-8986-482b-88ac-85f862325bfe", "metadata": {}, "source": [ "### 1.2.2 Evaluating a single stream using multiple learners\n", "\n", "```prequential_evaluation_multiple_learners()``` further encapsulates experiments by executing multiple learners on a single stream. \n", "\n", "* This function behaves as if we invoked ```prequential_evaluation()``` multiple times, but internally it only iterates through the stream once. This is useful if we are faced with a situation where accessing each instance of the stream is costly, then this function will be more convenient than just invoking ```prequential_evaluation()``` multiple times. \n", "\n", "* This method does not calculate ```wallclock``` or ```cpu_time``` because the training and testing of each learner is interleaved, thus timing estimations are unreliable. Thus, the results dictionaries do not contain the keys ```wallclock``` and ```cpu_time```. " ] }, { "cell_type": "code", "execution_count": 4, "id": "960419e2-1cd5-4d93-ba6e-50a74f9b8999", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:26:58.451954Z", "iopub.status.busy": "2024-09-23T00:26:58.451685Z", "iopub.status.idle": "2024-09-23T00:27:10.119911Z", "shell.execute_reply": "2024-09-23T00:27:10.119342Z" }, "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "OB final accuracy = 82.4174611581921 and ARF final accuracy = 89.32953742937853\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from capymoa.evaluation import prequential_evaluation_multiple_learners\n", "from capymoa.datasets import Electricity\n", "from capymoa.classifier import AdaptiveRandomForestClassifier, OnlineBagging\n", "from capymoa.evaluation.visualization import plot_windowed_results\n", "\n", "stream = Electricity()\n", "\n", "# Define the learners + an alias (dictionary key)\n", "learners = {\n", " \"OB\": OnlineBagging(schema=stream.get_schema(), ensemble_size=10),\n", " \"ARF\": AdaptiveRandomForestClassifier(schema=stream.get_schema(), ensemble_size=10),\n", "}\n", "\n", "results = prequential_evaluation_multiple_learners(stream, learners, window_size=4500)\n", "\n", "print(\n", " f\"OB final accuracy = {results['OB'].cumulative.accuracy()} and ARF final accuracy = {results['ARF'].cumulative.accuracy()}\"\n", ")\n", "plot_windowed_results(results[\"OB\"], results[\"ARF\"], metric=\"accuracy\")" ] }, { "attachments": {}, "cell_type": "markdown", "id": "120f118c-d8a5-4d10-aad1-a75a2ac122d8", "metadata": {}, "source": [ "## 1.3 Regression\n", "\n", "* We introduce a simple example using regression just to show how similar it is to assess regressors using the **high-level evaluation functions**.\n", "* In the example below, we just use ```prequential_evaluation()``` but it would work with ```cumulative_evaluation()``` and ```windowed_evaluation()``` as well.\n", "* One difference between classification and regression evaluation in CapyMOA is that the evaluators are different. Instead of ```ClassificationEvaluator``` and ```ClassificationWindowedEvaluator``` functions use ```RegressionEvaluator``` and ```RegressionWindowedEvaluator```." ] }, { "cell_type": "code", "execution_count": 5, "id": "3f9b6eeb-f5ce-403d-bf95-5d880be1a278", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:27:10.122200Z", "iopub.status.busy": "2024-09-23T00:27:10.121972Z", "iopub.status.idle": "2024-09-23T00:27:17.096793Z", "shell.execute_reply": "2024-09-23T00:27:17.096213Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "kNNRegressor [cumulative] RMSE = 2.7229994765160916 and AdaptiveRandomForestRegressor [cumulative] RMSE = 3.312901313632365\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from capymoa.datasets import Fried\n", "from capymoa.evaluation.visualization import plot_windowed_results\n", "from capymoa.evaluation import prequential_evaluation\n", "from capymoa.regressor import KNNRegressor, AdaptiveRandomForestRegressor\n", "\n", "stream = Fried()\n", "kNN_learner = KNNRegressor(schema=stream.get_schema(), k=5)\n", "ARF_learner = AdaptiveRandomForestRegressor(\n", " schema=stream.get_schema(), ensemble_size=10\n", ")\n", "\n", "kNN_results = prequential_evaluation(\n", " stream=stream, learner=kNN_learner, window_size=5000\n", ")\n", "ARF_results = prequential_evaluation(\n", " stream=stream, learner=ARF_learner, window_size=5000\n", ")\n", "\n", "print(\n", " f\"{kNN_results['learner']} [cumulative] RMSE = {kNN_results['cumulative'].rmse()} and \\\n", " {ARF_results['learner']} [cumulative] RMSE = {ARF_results['cumulative'].rmse()}\"\n", ")\n", "\n", "plot_windowed_results(kNN_results, ARF_results, metric=\"rmse\")" ] }, { "attachments": {}, "cell_type": "markdown", "id": "410145fa-5203-4c79-b86f-8ce891691751", "metadata": {}, "source": [ "### 1.3.1 Evaluating a single stream using multiple learners (Regression)\n", "\n", "* ```prequential_evaluation_multiple_learners``` also works for multiple regressors; the example below shows how it can be used. " ] }, { "cell_type": "code", "execution_count": 6, "id": "121e54e2-4ba2-41be-8397-408ad40db23d", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:27:17.098687Z", "iopub.status.busy": "2024-09-23T00:27:17.098538Z", "iopub.status.idle": "2024-09-23T00:27:34.539901Z", "shell.execute_reply": "2024-09-23T00:27:34.539400Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Cumulative results for each learner:\n", "kNNReg_k5, RMSE: 2.72, adjusted R2: 0.70\n", "kNNReg_k2, RMSE: 3.08, adjusted R2: 0.62\n", "kNNReg_k5_median, RMSE: 2.94, adjusted R2: 0.65\n", "ARFReg_s5, RMSE: 3.77, adjusted R2: 0.43\n" ] }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from capymoa.evaluation import prequential_evaluation_multiple_learners\n", "\n", "# Define the learners + an alias (dictionary key)\n", "learners = {\n", " \"kNNReg_k5\": KNNRegressor(schema=stream.get_schema(), k=5),\n", " \"kNNReg_k2\": KNNRegressor(schema=stream.get_schema(), k=2),\n", " \"kNNReg_k5_median\": KNNRegressor(schema=stream.get_schema(), CLI=\"-k 5 -m\"),\n", " \"ARFReg_s5\": AdaptiveRandomForestRegressor(\n", " schema=stream.get_schema(), ensemble_size=5\n", " ),\n", "}\n", "\n", "results = prequential_evaluation_multiple_learners(stream, learners)\n", "\n", "print(\"Cumulative results for each learner:\")\n", "for learner_id in learners.keys():\n", " if learner_id in results:\n", " cumulative = results[learner_id][\"cumulative\"]\n", " print(\n", " f\"{learner_id}, RMSE: {cumulative.rmse():.2f}, adjusted R2: {cumulative.adjusted_r2():.2f}\"\n", " )\n", "\n", "# Tip: invoking metrics_header() from an evaluator will show us all the metrics available,\n", "# e.g. results['kNNReg_k5']['cumulative'].metrics_header()\n", "plot_windowed_results(\n", " results[\"kNNReg_k5\"],\n", " results[\"kNNReg_k2\"],\n", " results[\"kNNReg_k5_median\"],\n", " results[\"ARFReg_s5\"],\n", " metric=\"rmse\",\n", ")\n", "\n", "plot_windowed_results(\n", " results[\"kNNReg_k5\"],\n", " results[\"kNNReg_k2\"],\n", " results[\"kNNReg_k5_median\"],\n", " results[\"ARFReg_s5\"],\n", " metric=\"adjusted_r2\",\n", ")" ] }, { "cell_type": "markdown", "id": "f1fffd6b-7421-4c07-9cca-dde220164387", "metadata": {}, "source": [ "### 1.3.2 Plotting predictions vs. ground truth over time (Regression)\n", "\n", "* In regression it is sometimes desirable to plot **predictions vs. ground truth** to observe what is happening with the stream. If we create a custom loop and use the evaluators directly, it is trivial to store the ground truth and predictions, and then proceed to plot them. However, to make people's life easier the ```plot_predictions_vs_ground_truth``` function can be used.\n", "\n", "* For massive streams with millions of instances, it can be unbearable to plot all at once, thus we can specify a ```plot_interval``` (that we want to investigate) to ```plot_predictions_vs_ground_truth```. By default, the plot function will attempt to plot everything, i.e. with ```plot_interval=None```, which is seldom a good idea. " ] }, { "cell_type": "code", "execution_count": 7, "id": "f71c8f1b-776d-4204-b485-284aed60af2c", "metadata": { "execution": { "iopub.execute_input": "2024-09-23T00:27:34.541550Z", "iopub.status.busy": "2024-09-23T00:27:34.541410Z", "iopub.status.idle": "2024-09-23T00:27:41.362623Z", "shell.execute_reply": "2024-09-23T00:27:41.362266Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from capymoa.evaluation import prequential_evaluation\n", "from capymoa.evaluation.visualization import plot_predictions_vs_ground_truth\n", "from capymoa.regressor import KNNRegressor, AdaptiveRandomForestRegressor\n", "from capymoa.datasets import Fried\n", "\n", "stream = Fried()\n", "kNN_learner = KNNRegressor(schema=stream.get_schema(), k=5)\n", "ARF_learner = AdaptiveRandomForestRegressor(\n", " schema=stream.get_schema(), ensemble_size=10\n", ")\n", "\n", "# When we specify store_predictions and store_y, the results will also include all the predictions and all the ground truth y.\n", "# It is useful for debugging and outputting the predictions elsewhere.\n", "kNN_results = prequential_evaluation(\n", " stream=stream,\n", " learner=kNN_learner,\n", " window_size=5000,\n", " store_predictions=True,\n", " store_y=True,\n", ")\n", "# We don't need to store the ground-truth for every experiment, since it is always the same for the same stream.\n", "ARF_results = prequential_evaluation(\n", " stream=stream, learner=ARF_learner, window_size=5000, store_predictions=True\n", ")\n", "\n", "\n", "# Plot only 200 predictions (see plot_interval).\n", "plot_predictions_vs_ground_truth(\n", " kNN_results,\n", " ARF_results,\n", " ground_truth=kNN_results[\"ground_truth_y\"],\n", " plot_interval=(0, 200),\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "2f1c9048-811c-4c74-b32b-fe3f07de4050", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.7" } }, "nbformat": 4, "nbformat_minor": 5 }