Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   23  0.8138  0.0010  0.167  0.4532  0.1813  0.28
Ax 1995   48  0.7543  0.0027  0.0531  0.1513  0.3321  0.22
Bacha 1998   41  0.7749  0.0044  0.0834  0.0842  0.0639  0.07
Barbosa 1983   52  0.7532  0.0029  0.0522  0.2217  0.4110  0.30
BenOr 1989   21  0.8141  0.0037  0.0549  0.0536  0.0654  0.05
Biret 1990   15  0.8322  0.0123  0.0521  0.2436  0.0635  0.12
Brailowsky 1960   57  0.7260  0.0053  0.0551  0.0539  0.0647  0.05
Chiu 1999   43  0.7745  0.0050  0.0543  0.0548  0.0458  0.04
Clidat 1994   56  0.7235  0.0048  0.0453  0.0447  0.0560  0.04
Cohen 1997   64  0.6365  0.0064  0.0365  0.0348  0.0564  0.04
Cortot 1951   47  0.7650  0.0058  0.0363  0.0349  0.0466  0.03
Csalog 1996   55  0.7346  0.0061  0.0641  0.0634  0.0840  0.07
Czerny 1989   27  0.8013  0.0117  0.0719  0.2914  0.457  0.36
Ezaki 2006   9  0.848  0.0314  0.1113  0.401  0.573  0.48
Falvay 1989   11  0.833  0.086  0.1310  0.4124  0.239  0.31
Fiorentino 1962   26  0.8110  0.0222  0.0633  0.1054  0.0541  0.07
Fliere 1977   31  0.8056  0.0043  0.0636  0.0638  0.0642  0.06
Fou 1978   46  0.7716  0.0119  0.0817  0.2925  0.2218  0.25
Francois 1956   54  0.7317  0.0135  0.0544  0.059  0.4132  0.14
Goldenweiser 1946   45  0.7718  0.0132  0.1024  0.2013  0.3516  0.26
Gornostaeva 1994   12  0.8329  0.0030  0.0726  0.1916  0.3119  0.24
Groot 1988   24  0.8163  0.0038  0.0552  0.0550  0.0555  0.05
Hatto 1993   29  0.8033  0.0024  0.0523  0.2132  0.1624  0.18
Hatto 1997   44  0.7759  0.0025  0.0527  0.1933  0.1326  0.16
Horszowski 1983   42  0.7737  0.0031  0.0729  0.1728  0.1427  0.15
Indjic 2001   39  0.7934  0.0026  0.0628  0.1733  0.1131  0.14
Katin 1996   40  0.7924  0.0149  0.0546  0.0543  0.0744  0.06
Kiepura 1999   59  0.7121  0.0152  0.0459  0.0427  0.2237  0.09
Korecka 1992   2  0.8631  0.005  0.144  0.481  0.562  0.52
Kushner 1990   25  0.812  0.172  0.175  0.4710  0.494  0.48
Lilamand 2001   58  0.7140  0.0057  0.0455  0.0416  0.4133  0.13
Luisada 1990   19  0.8152  0.0018  0.0716  0.3333  0.1123  0.19
Luisada 2008   6  0.8515  0.017  0.118  0.4320  0.308  0.36
Lushtak 2004   17  0.8267  0.0042  0.0545  0.0565  0.0361  0.04
Malcuzynski 1951   63  0.6619  0.0139  0.0454  0.0431  0.1046  0.06
Malcuzynski 1961   37  0.7948  0.008  0.1015  0.3626  0.2412  0.29
Magaloff 1977   5  0.864  0.063  0.173  0.484  0.495  0.48
Magin 1975   20  0.8128  0.0016  0.0818  0.2927  0.2614  0.27
Meguri 1997   14  0.8311  0.0236  0.0639  0.0621  0.3129  0.14
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   28  0.8030  0.0047  0.0637  0.0640  0.0552  0.05
Nezu 2005   35  0.806  0.0420  0.0825  0.1930  0.1625  0.17
Ohlsson 1999   33  0.8044  0.0033  0.0532  0.1143  0.0638  0.08
Olejniczak 1990   32  0.8057  0.0046  0.0548  0.0551  0.0556  0.05
Osinska 1989   7  0.8414  0.0112  0.129  0.4229  0.1122  0.21
Perlemuter 1992   36  0.7954  0.0054  0.0547  0.0546  0.0457  0.04
Poblocka 1999   3  0.8612  0.0113  0.1111  0.4123  0.2111  0.29
Rangell 2001   30  0.8036  0.0055  0.0458  0.0420  0.2336  0.10
Richter 1960   53  0.7455  0.0060  0.0542  0.0540  0.0550  0.05
Richter 1961   62  0.6639  0.0062  0.0362  0.0339  0.0748  0.05
Rosen 1989   34  0.8042  0.0045  0.0735  0.0753  0.0545  0.06
Rubinstein 1939   49  0.757  0.0334  0.0640  0.0646  0.0643  0.06
Rubinstein 1952   22  0.8127  0.0021  0.0620  0.2635  0.0928  0.15
Rubinstein 1966   4  0.8623  0.0111  0.1212  0.4144  0.0530  0.14
Rudanovskaya 2007   60  0.7126  0.0065  0.0460  0.0460  0.0365  0.03
Shebanova 2002   8  0.849  0.0215  0.1214  0.3924  0.1915  0.27
Smith 1975   38  0.7958  0.0051  0.0457  0.0444  0.0559  0.04
Sztompka 1959   18  0.8220  0.0128  0.0630  0.169  0.4117  0.26
Tanyel 1992   51  0.7566  0.0056  0.0456  0.0458  0.0462  0.04
Tsujii 2005   13  0.8353  0.0041  0.0638  0.0653  0.0451  0.05
Uninsky 1959   10  0.835  0.064  0.132  0.5810  0.481  0.53
Vardi 1988   61  0.6947  0.0059  0.0461  0.0439  0.0649  0.05
Wasowski 1980   16  0.8225  0.009  0.126  0.4521  0.306  0.37
Zimerman 1975   50  0.7561  0.0040  0.0550  0.0544  0.0553  0.05
Average   1  0.891  0.291  0.291  0.6334  0.0820  0.22
Random 1   67  -0.0462  0.0066  0.0266  0.0233  0.0763  0.04
Random 2   66  0.0051  0.0067  0.0167  0.0150  0.0467  0.02
Random 3   65  0.2164  0.0063  0.0364  0.032  0.5334  0.13

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).