Magaloff 1977b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.3150  0.0021  0.0732  0.1139  0.0633  0.08
Ashkenazy 1981   11  0.387  0.0012  0.1013  0.3737  0.0710  0.16
Beliavsky 2004   49  0.2819  0.0044  0.0452  0.0437  0.0937  0.06
BenOr 1989   16  0.3520  0.0015  0.089  0.4157  0.0513  0.14
Biret 1990   7  0.395  0.007  0.1310  0.3957  0.0514  0.14
Blet 2003   35  0.3126  0.0039  0.0636  0.0659  0.0446  0.05
Block 1995   15  0.3651  0.0014  0.0912  0.3744  0.0612  0.15
Brailowsky 1960   24  0.3462  0.0017  0.0818  0.3053  0.0616  0.13
Chiu 1999   20  0.348  0.0037  0.0542  0.0557  0.0456  0.04
Clidat 1994   21  0.3440  0.0030  0.0628  0.1950  0.0623  0.11
Cohen 1997   44  0.2936  0.0050  0.0453  0.0439  0.0749  0.05
Coop 1987   23  0.3455  0.0031  0.0723  0.2156  0.0529  0.10
Cortot 1951   41  0.3014  0.0047  0.0544  0.0526  0.3317  0.13
Czerny 1949   48  0.2832  0.0053  0.0460  0.0451  0.0560  0.04
Czerny 1949b   38  0.3122  0.0040  0.0545  0.0549  0.0543  0.05
Ezaki 2006   57  0.2252  0.0060  0.0363  0.0357  0.0551  0.04
Falvay 1989   28  0.3333  0.0016  0.0816  0.3236  0.0711  0.15
Ferenczy 1958   45  0.2863  0.0043  0.0457  0.0461  0.0458  0.04
Fiorentino 1962   51  0.2745  0.0058  0.0543  0.0559  0.0550  0.05
Fliere 1977   37  0.3131  0.0038  0.0637  0.0652  0.0541  0.05
Fou 1978   19  0.3453  0.0025  0.0631  0.1742  0.0722  0.11
Francois 1956   42  0.2929  0.0042  0.0541  0.0533  0.1035  0.07
Hatto 1997   31  0.3241  0.0033  0.0634  0.0645  0.0638  0.06
Horowitz 1971   46  0.2858  0.0049  0.0458  0.0447  0.0563  0.04
Horowitz 1985   58  0.2264  0.0056  0.0455  0.0459  0.0454  0.04
Indjic 2001   33  0.3238  0.0036  0.0635  0.0648  0.0639  0.06
Kapell 1951   52  0.2737  0.0054  0.0456  0.0460  0.0365  0.03
Kiepura 1999   18  0.3527  0.0018  0.117  0.4257  0.0415  0.13
Kilenyi 1937   63  0.1965  0.0061  0.0461  0.0460  0.0559  0.04
Kissin 1993   4  0.4223  0.005  0.184  0.5428  0.282  0.39
Kitain 1937   55  0.259  0.0048  0.0540  0.0539  0.0840  0.06
Kushner 1990   50  0.2846  0.0035  0.0638  0.0654  0.0545  0.05
Levy 1951   53  0.2617  0.0052  0.0548  0.0542  0.0642  0.05
Luisada 1990   25  0.3347  0.0020  0.0824  0.2143  0.0624  0.11
Lushtak 2004   29  0.3230  0.0032  0.0930  0.1748  0.0631  0.10
Lympany 1968   43  0.293  0.0041  0.0450  0.0458  0.0452  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   30  0.3215  0.0019  0.0725  0.2145  0.0621  0.11
Milkina 1970   3  0.4513  0.003  0.273  0.5633  0.105  0.24
Mohovich 1999   59  0.2116  0.0051  0.0459  0.0448  0.0562  0.04
Nadelmann 1956   13  0.3756  0.009  0.1111  0.3761  0.0419  0.12
Ohlsson 1999   12  0.3734  0.0011  0.1015  0.3333  0.089  0.16
Olejniczac 1990   54  0.2535  0.0059  0.0547  0.0551  0.0648  0.05
Olejniczak 1991   60  0.2021  0.0063  0.0451  0.0459  0.0557  0.04
Osinska 1989   5  0.4018  0.004  0.225  0.5338  0.087  0.21
Paderewski 1912   6  0.3925  0.008  0.118  0.4116  0.353  0.38
Perahia 1994   17  0.3542  0.0029  0.0522  0.2352  0.0526  0.11
Perlemuter 1986   36  0.3128  0.0028  0.0627  0.2061  0.0432  0.09
Poblocka 1999   47  0.2859  0.0055  0.0449  0.0462  0.0364  0.03
Rangell 2001   9  0.382  0.0110  0.116  0.4223  0.354  0.38
Risler 1920   40  0.3024  0.006  0.1719  0.2827  0.186  0.22
Rosen 1989   62  0.2048  0.0062  0.0362  0.0352  0.0661  0.04
Rubinstein 1939   14  0.3610  0.0024  0.0721  0.2443  0.0618  0.12
Rubinstein 1952   10  0.3812  0.0022  0.0717  0.3253  0.0427  0.11
Rubinstein 1966   8  0.3839  0.0013  0.0814  0.3659  0.0420  0.12
Rummel 1943   22  0.344  0.0026  0.0526  0.2041  0.0625  0.11
Shebanova 2002   32  0.3254  0.0045  0.0546  0.0554  0.0547  0.05
Smith 1975   26  0.3343  0.0027  0.0629  0.1951  0.0528  0.10
Szpilman 1948   61  0.2066  0.0057  0.0454  0.0458  0.0555  0.04
Uninsky 1971   27  0.3311  0.0023  0.0620  0.2760  0.0430  0.10
Wasowski 1980   34  0.3244  0.0046  0.0539  0.0559  0.0453  0.04
Weissenberg 1971   56  0.2357  0.0034  0.0733  0.0756  0.0536  0.06
Average   2  0.546  0.002  0.582  0.7651  0.068  0.21
Random 1    66  -0.0360  0.0065  0.0264  0.0230  0.1544  0.05
Random 2   65  -0.0149  0.0066  0.0166  0.0145  0.0566  0.02
Random 3   64  0.0461  0.0064  0.0265  0.0221  0.2234  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).