Magaloff 1977b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.3150  0.0020  0.0732  0.1138  0.0634  0.08
Ashkenazy 1981   10  0.387  0.0011  0.1011  0.3836  0.079  0.16
Beliavsky 2004   48  0.2819  0.0043  0.0451  0.0437  0.0939  0.06
BenOr 1989   15  0.3514  0.0014  0.098  0.4156  0.0512  0.14
Biret 1990   6  0.395  0.006  0.139  0.3956  0.0513  0.14
Blet 2003   34  0.3125  0.0038  0.0635  0.0658  0.0447  0.05
Block 1995   14  0.3651  0.0013  0.0912  0.3744  0.0611  0.15
Brailowsky 1960   23  0.3461  0.0016  0.0817  0.3052  0.0615  0.13
Chiu 1999   19  0.348  0.0036  0.0541  0.0556  0.0458  0.04
Clidat 1994   20  0.3440  0.0029  0.0726  0.2049  0.0622  0.11
Cohen 1997   43  0.2937  0.0049  0.0452  0.0432  0.1436  0.07
Coop 1987   22  0.3455  0.0030  0.0722  0.2255  0.0528  0.10
Cortot 1951   40  0.3015  0.0046  0.0543  0.0523  0.3616  0.13
Czerny 1949   47  0.2831  0.0052  0.0459  0.0450  0.0563  0.04
Czerny 1949b   37  0.3121  0.0039  0.0544  0.0548  0.0544  0.05
Ezaki 2006   56  0.2252  0.0059  0.0362  0.0356  0.0553  0.04
Falvay 1989   27  0.3333  0.0015  0.0815  0.3336  0.0710  0.15
Ferenczy 1958   44  0.2862  0.0042  0.0456  0.0460  0.0461  0.04
Fiorentino 1962   50  0.2745  0.0057  0.0542  0.0558  0.0552  0.05
Fliere 1977   36  0.3132  0.0037  0.0636  0.0651  0.0543  0.05
Fou 1978   18  0.3441  0.0024  0.0630  0.1741  0.0721  0.11
Francois 1956   41  0.2928  0.0041  0.0540  0.0531  0.1932  0.10
Hatto 1997   30  0.3234  0.0032  0.0631  0.1344  0.0730  0.10
Horowitz 1971   45  0.2857  0.0048  0.0457  0.0446  0.0564  0.04
Horowitz 1985   57  0.2263  0.0055  0.0454  0.0458  0.0455  0.04
Indjic 2001   32  0.3229  0.0035  0.0634  0.0647  0.0640  0.06
Kapell 1951   51  0.2738  0.0053  0.0455  0.0459  0.0460  0.04
Kiepura 1999   17  0.3526  0.0017  0.115  0.4256  0.0414  0.13
Kilenyi 1937   62  0.1964  0.0060  0.0460  0.0459  0.0562  0.04
Kissin 1993   3  0.4222  0.004  0.193  0.5427  0.302  0.40
Kitain 1937   54  0.256  0.0047  0.0539  0.0539  0.0841  0.06
Kushner 1990   49  0.2846  0.0034  0.0637  0.0653  0.0546  0.05
Levy 1951   52  0.2618  0.0051  0.0547  0.0541  0.0737  0.06
Luisada 1990   24  0.3347  0.0019  0.0823  0.2143  0.0623  0.11
Lushtak 2004   28  0.3230  0.0031  0.0929  0.1747  0.0631  0.10
Lympany 1968   42  0.293  0.0040  0.0449  0.0457  0.0454  0.04
Magaloff 1977   1  0.881  0.981  0.961  0.981  0.991  0.98
Magaloff 1977b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   29  0.3211  0.0018  0.0724  0.2144  0.0620  0.11
Milkina 1970   2  0.4512  0.002  0.282  0.5633  0.105  0.24
Mohovich 1999   58  0.2116  0.0050  0.0458  0.0447  0.0651  0.05
Nadelmann 1956   12  0.3756  0.008  0.1110  0.3860  0.0418  0.12
Ohlsson 1999   11  0.3735  0.0010  0.1014  0.3433  0.088  0.16
Olejniczac 1990   53  0.2536  0.0058  0.0546  0.0550  0.0649  0.05
Olejniczak 1991   59  0.2020  0.0062  0.0450  0.0458  0.0559  0.04
Osinska 1989   4  0.4017  0.003  0.224  0.5337  0.087  0.21
Paderewski 1912   5  0.3924  0.007  0.117  0.4115  0.354  0.38
Perahia 1994   16  0.3542  0.0028  0.0621  0.2451  0.0525  0.11
Perlemuter 1986   35  0.3127  0.0027  0.0627  0.2060  0.0433  0.09
Poblocka 1999   46  0.2858  0.0054  0.0548  0.0561  0.0357  0.04
Rangell 2001   8  0.382  0.019  0.116  0.4222  0.363  0.39
Risler 1920   39  0.3023  0.005  0.1718  0.2927  0.186  0.23
Rosen 1989   61  0.2048  0.0061  0.0361  0.0351  0.0750  0.05
Rubinstein 1939   13  0.369  0.0023  0.0720  0.2442  0.0617  0.12
Rubinstein 1952   9  0.3813  0.0021  0.0716  0.3252  0.0426  0.11
Rubinstein 1966   7  0.3839  0.0012  0.0913  0.3658  0.0419  0.12
Rummel 1943   21  0.344  0.0025  0.0525  0.2140  0.0624  0.11
Shebanova 2002   31  0.3253  0.0044  0.0545  0.0553  0.0548  0.05
Smith 1975   25  0.3343  0.0026  0.0628  0.1950  0.0527  0.10
Szpilman 1948   60  0.2065  0.0056  0.0453  0.0457  0.0556  0.04
Uninsky 1971   26  0.3310  0.0022  0.0619  0.2759  0.0429  0.10
Wasowski 1980   33  0.3244  0.0045  0.0638  0.0658  0.0442  0.05
Weissenberg 1971   55  0.2354  0.0033  0.0733  0.0755  0.0538  0.06
Random 1    65  -0.0359  0.0064  0.0263  0.0230  0.1545  0.05
Random 2   64  -0.0149  0.0065  0.0265  0.0241  0.0565  0.03
Random 3   63  0.0460  0.0063  0.0264  0.0221  0.2235  0.07

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).