Milkina 1970

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.7152  0.0032  0.0631  0.1250  0.0441  0.07
Ashkenazy 1981   37  0.6820  0.0048  0.0453  0.0459  0.0464  0.04
Beliavsky 2004   49  0.6534  0.0024  0.0724  0.2043  0.0629  0.11
BenOr 1989   4  0.7724  0.0012  0.0816  0.3642  0.0623  0.15
Biret 1990   5  0.774  0.045  0.187  0.5130  0.2511  0.36
Blet 2003   20  0.7214  0.0133  0.0552  0.0530  0.1337  0.08
Block 1995   40  0.6750  0.0057  0.0642  0.0643  0.0556  0.05
Brailowsky 1960   18  0.7228  0.0017  0.0813  0.3910  0.507  0.44
Chiu 1999   47  0.6556  0.0049  0.0645  0.0654  0.0549  0.05
Clidat 1994   16  0.7248  0.0016  0.0810  0.4510  0.456  0.45
Cohen 1997   26  0.7058  0.0031  0.0528  0.1430  0.1225  0.13
Coop 1987   50  0.6559  0.0055  0.0454  0.0459  0.0563  0.04
Cortot 1951   14  0.7332  0.0028  0.0925  0.1851  0.0440  0.08
Czerny 1949   51  0.6519  0.0054  0.0458  0.0452  0.0653  0.05
Czerny 1949b   59  0.5960  0.0061  0.0364  0.0348  0.0662  0.04
Ezaki 2006   38  0.6737  0.0058  0.0455  0.0456  0.0559  0.04
Falvay 1989   10  0.748  0.0115  0.079  0.4532  0.1417  0.25
Ferenczy 1958   46  0.6626  0.0050  0.0644  0.0624  0.2626  0.12
Fiorentino 1962   22  0.7131  0.0030  0.0632  0.1146  0.0639  0.08
Fliere 1977   11  0.7442  0.0020  0.1314  0.3733  0.0721  0.16
Fou 1978   29  0.6946  0.0038  0.0734  0.0745  0.0642  0.06
Francois 1956   60  0.575  0.0225  0.0730  0.138  0.5915  0.28
Hatto 1997   12  0.7465  0.0022  0.0719  0.2526  0.2219  0.23
Horowitz 1971   33  0.6813  0.0118  0.0822  0.215  0.5112  0.33
Horowitz 1985   62  0.5257  0.0063  0.0547  0.0557  0.0546  0.05
Indjic 2001   3  0.7835  0.0010  0.1112  0.4121  0.3210  0.36
Kapell 1951   25  0.7115  0.019  0.1417  0.2632  0.1220  0.18
Kiepura 1999   43  0.6747  0.0059  0.0550  0.0545  0.0545  0.05
Kilenyi 1937   57  0.6327  0.0053  0.0460  0.0463  0.0365  0.03
Kissin 1993   17  0.7243  0.008  0.166  0.5331  0.1316  0.26
Kitain 1937   63  0.5155  0.0060  0.0362  0.0337  0.0757  0.05
Kushner 1990   58  0.6221  0.0052  0.0459  0.0425  0.2433  0.10
Levy 1951   36  0.6830  0.0034  0.0549  0.0548  0.0550  0.05
Luisada 1990   30  0.6922  0.0047  0.0548  0.0547  0.0655  0.05
Lushtak 2004   31  0.6961  0.0039  0.0638  0.0630  0.1634  0.10
Lympany 1968   28  0.6916  0.0037  0.0640  0.0623  0.2228  0.11
Magaloff 1977   42  0.6744  0.0041  0.0643  0.0657  0.0554  0.05
Magaloff 1977b   41  0.6766  0.0040  0.0733  0.0752  0.0644  0.06
Magin 1975   52  0.6539  0.0062  0.0456  0.0456  0.0561  0.04
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   6  0.767  0.026  0.184  0.6311  0.552  0.59
Nadelmann 1956   34  0.6840  0.0043  0.0735  0.0755  0.0452  0.05
Ohlsson 1999   39  0.6749  0.0042  0.0639  0.0640  0.0643  0.06
Olejniczac 1990   19  0.7238  0.0029  0.0629  0.1443  0.0635  0.09
Olejniczak 1991   53  0.6533  0.0056  0.0546  0.0561  0.0551  0.05
Osinska 1989   8  0.7445  0.0019  0.0915  0.3743  0.0722  0.16
Paderewski 1912   32  0.6917  0.0013  0.1011  0.4413  0.535  0.48
Perahia 1994   44  0.669  0.0111  0.0918  0.253  0.529  0.36
Perlemuter 1986   27  0.7018  0.0026  0.0827  0.155  0.5913  0.30
Poblocka 1999   13  0.7310  0.0123  0.0723  0.2161  0.0531  0.10
Rangell 2001   45  0.6629  0.0045  0.0457  0.0446  0.0658  0.05
Risler 1920   61  0.5425  0.0051  0.0361  0.0336  0.0848  0.05
Rosen 1989   15  0.736  0.024  0.198  0.494  0.564  0.52
Rubinstein 1939   48  0.6553  0.0035  0.0641  0.0619  0.3124  0.14
Rubinstein 1952   7  0.763  0.047  0.165  0.558  0.513  0.53
Rubinstein 1966   2  0.821  0.421  0.412  0.771  0.801  0.78
Rummel 1943   55  0.6411  0.0136  0.0637  0.0632  0.1238  0.08
Shebanova 2002   21  0.7136  0.0027  0.0820  0.2414  0.3614  0.29
Smith 1975   9  0.7412  0.013  0.223  0.6425  0.268  0.41
Szpilman 1948   56  0.6462  0.0044  0.0551  0.0545  0.0647  0.05
Uninsky 1971   54  0.6523  0.0021  0.0721  0.2350  0.0530  0.11
Wasowski 1980   35  0.6851  0.0046  0.0636  0.0663  0.0360  0.04
Weissenberg 1971   24  0.7141  0.0014  0.0826  0.1659  0.0436  0.08
Average   1  0.832  0.312  0.501  0.8536  0.0618  0.23
Random 1    65  0.0263  0.0065  0.0365  0.0324  0.3132  0.10
Random 2   64  0.0364  0.0064  0.0363  0.034  0.4527  0.12
Random 3   66  -0.0254  0.0066  0.0166  0.0154  0.0366  0.02

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).