Magaloff 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.3125  0.0034  0.0635  0.0637  0.0639  0.06
Ashkenazy 1981   13  0.3960  0.0022  0.0720  0.3243  0.0622  0.14
Beliavsky 2004   53  0.277  0.0049  0.0457  0.0431  0.1135  0.07
BenOr 1989   21  0.365  0.0026  0.0813  0.4049  0.0713  0.17
Biret 1990   10  0.3920  0.0015  0.0917  0.3748  0.0523  0.14
Blet 2003   29  0.346  0.0024  0.0625  0.2949  0.0528  0.12
Block 1995   9  0.404  0.005  0.116  0.4742  0.0612  0.17
Brailowsky 1960   15  0.382  0.018  0.1510  0.4236  0.108  0.20
Chiu 1999   16  0.3864  0.0023  0.0630  0.2136  0.0725  0.12
Clidat 1994   43  0.3021  0.0052  0.0459  0.0458  0.0559  0.04
Cohen 1997   47  0.2939  0.0053  0.0449  0.0429  0.1533  0.08
Coop 1987   30  0.3444  0.0031  0.0729  0.2263  0.0332  0.08
Cortot 1951   49  0.2851  0.0050  0.0362  0.0330  0.2134  0.08
Czerny 1949   36  0.3361  0.0039  0.0445  0.0448  0.0558  0.04
Czerny 1949b   42  0.3112  0.0043  0.0448  0.0456  0.0455  0.04
Ezaki 2006   52  0.2745  0.0060  0.0446  0.0456  0.0550  0.04
Falvay 1989   31  0.3437  0.009  0.0918  0.3756  0.0520  0.14
Ferenczy 1958   34  0.3355  0.0025  0.0622  0.3138  0.0911  0.17
Fiorentino 1962   51  0.2833  0.0055  0.0451  0.0450  0.0748  0.05
Fliere 1977   45  0.2931  0.0044  0.0456  0.0456  0.0452  0.04
Fou 1978   25  0.3548  0.0036  0.0638  0.0647  0.0637  0.06
Francois 1956   33  0.3346  0.0027  0.1019  0.3219  0.364  0.34
Hatto 1997   39  0.3242  0.0040  0.0639  0.0649  0.0544  0.05
Horowitz 1971   27  0.3522  0.0028  0.0732  0.1738  0.0730  0.11
Horowitz 1985   62  0.2152  0.0054  0.0361  0.0358  0.0463  0.03
Indjic 2001   40  0.3240  0.0041  0.0542  0.0545  0.0740  0.06
Kapell 1951   55  0.268  0.0058  0.0447  0.0464  0.0364  0.03
Kiepura 1999   23  0.3523  0.0020  0.0714  0.4038  0.0617  0.15
Kilenyi 1937   56  0.2417  0.0056  0.0458  0.0458  0.0557  0.04
Kissin 1993   18  0.3710  0.0010  0.0921  0.3135  0.1010  0.18
Kitain 1937   63  0.2043  0.0051  0.0363  0.0358  0.0465  0.03
Kushner 1990   48  0.2915  0.0033  0.0636  0.0657  0.0443  0.05
Levy 1951   50  0.2832  0.0046  0.0454  0.0462  0.0454  0.04
Luisada 1990   20  0.3634  0.0012  0.1224  0.3029  0.186  0.23
Lushtak 2004   46  0.2926  0.0048  0.0541  0.0561  0.0460  0.04
Lympany 1968   44  0.3014  0.0045  0.0360  0.0360  0.0462  0.03
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977b   1  0.881  0.981  0.961  0.991  0.981  0.98
Magin 1975   22  0.3627  0.0019  0.0923  0.3046  0.0526  0.12
Milkina 1970   3  0.4549  0.004  0.274  0.5747  0.069  0.18
Mohovich 1999   57  0.2335  0.0057  0.0450  0.0450  0.0561  0.04
Nadelmann 1956   14  0.3828  0.0017  0.1015  0.3962  0.0329  0.11
Ohlsson 1999   7  0.4118  0.0011  0.105  0.5042  0.0515  0.16
Olejniczac 1990   54  0.2665  0.0059  0.0453  0.0454  0.0646  0.05
Olejniczak 1991   59  0.2236  0.0063  0.0444  0.0457  0.0642  0.05
Osinska 1989   11  0.3929  0.0016  0.129  0.4353  0.0518  0.15
Paderewski 1912   8  0.4030  0.0014  0.0911  0.4214  0.363  0.39
Perahia 1994   19  0.3741  0.0030  0.0926  0.2841  0.0721  0.14
Perlemuter 1986   37  0.3224  0.0032  0.1131  0.2045  0.0531  0.10
Poblocka 1999   28  0.3438  0.0037  0.0633  0.0642  0.0636  0.06
Rangell 2001   38  0.3216  0.0042  0.0640  0.0644  0.0549  0.05
Risler 1920   12  0.3953  0.003  0.253  0.577  0.552  0.56
Rosen 1989   61  0.2154  0.0062  0.0455  0.0455  0.0647  0.05
Rubinstein 1939   5  0.4266  0.007  0.168  0.4342  0.0614  0.16
Rubinstein 1952   4  0.4313  0.006  0.127  0.4642  0.0519  0.15
Rubinstein 1966   6  0.4162  0.0013  0.0812  0.4144  0.0616  0.16
Rummel 1943   17  0.3711  0.0018  0.1716  0.3821  0.265  0.31
Shebanova 2002   26  0.3556  0.0035  0.0634  0.0658  0.0445  0.05
Smith 1975   24  0.3519  0.0029  0.0927  0.2735  0.0624  0.13
Szpilman 1948   60  0.2157  0.0061  0.0452  0.0456  0.0553  0.04
Uninsky 1971   32  0.349  0.0021  0.0628  0.2441  0.0627  0.12
Wasowski 1980   35  0.3350  0.0038  0.0637  0.0660  0.0351  0.04
Weissenberg 1971   58  0.2358  0.0047  0.0543  0.0558  0.0456  0.04
Average   2  0.563  0.002  0.602  0.8246  0.067  0.22
Random 1    65  -0.0147  0.0064  0.0264  0.0225  0.2138  0.06
Random 2   66  -0.0563  0.0066  0.0166  0.0161  0.0366  0.02
Random 3   64  0.0459  0.0065  0.0265  0.0227  0.1641  0.06

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).