Magaloff 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.6942  0.0024  0.1119  0.3621  0.378  0.36
Ashkenazy 1981   10  0.7361  0.0013  0.1012  0.4939  0.0819  0.20
Beliavsky 2004   39  0.6614  0.0038  0.0835  0.0817  0.3824  0.17
BenOr 1989   9  0.7324  0.009  0.0913  0.4737  0.0823  0.19
Biret 1990   43  0.6551  0.0041  0.0740  0.0733  0.0842  0.07
Blet 2003   37  0.676  0.0039  0.0739  0.0760  0.0457  0.05
Block 1995   26  0.694  0.0035  0.0648  0.0634  0.1238  0.08
Brailowsky 1960   56  0.582  0.0057  0.0556  0.0549  0.0745  0.06
Chiu 1999   3  0.7543  0.003  0.304  0.5815  0.512  0.54
Clidat 1994   20  0.7018  0.0029  0.1028  0.2338  0.0730  0.13
Cohen 1997   61  0.4840  0.0061  0.0560  0.0534  0.0853  0.06
Coop 1987   12  0.7235  0.0012  0.1310  0.5044  0.0625  0.17
Cortot 1951   55  0.5864  0.0058  0.0461  0.0426  0.2934  0.11
Czerny 1949   36  0.6752  0.0018  0.0822  0.3136  0.0728  0.15
Czerny 1949b   19  0.7028  0.0010  0.0815  0.4736  0.0822  0.19
Ezaki 2006   8  0.7320  0.0017  0.0917  0.4235  0.0920  0.19
Falvay 1989   7  0.7325  0.0011  0.117  0.5132  0.1313  0.26
Ferenczy 1958   57  0.5744  0.0056  0.0649  0.0651  0.0559  0.05
Fiorentino 1962   29  0.6941  0.0032  0.0632  0.1236  0.0936  0.10
Fliere 1977   15  0.7230  0.0014  0.099  0.5048  0.0721  0.19
Fou 1978   11  0.7231  0.0026  0.1420  0.3544  0.0726  0.16
Francois 1956   45  0.6545  0.0036  0.0744  0.0716  0.3727  0.16
Hatto 1997   47  0.6421  0.0048  0.0737  0.0747  0.0648  0.06
Horowitz 1971   46  0.648  0.0047  0.0738  0.0757  0.0554  0.06
Horowitz 1985   60  0.5065  0.0060  0.0557  0.0548  0.0463  0.04
Indjic 2001   48  0.6453  0.0049  0.0745  0.0747  0.0741  0.07
Kapell 1951   21  0.705  0.0023  0.0927  0.2537  0.0829  0.14
Kiepura 1999   23  0.6912  0.0028  0.0926  0.2824  0.3810  0.33
Kilenyi 1937   22  0.6915  0.006  0.178  0.5129  0.277  0.37
Kissin 1993   2  0.7713  0.002  0.343  0.6023  0.296  0.42
Kitain 1937   62  0.3538  0.0062  0.0653  0.0652  0.0561  0.05
Kushner 1990   44  0.6529  0.0043  0.0743  0.0761  0.0456  0.05
Levy 1951   54  0.5946  0.0052  0.0559  0.0559  0.0555  0.05
Luisada 1990   13  0.7210  0.0016  0.0814  0.4718  0.395  0.43
Lushtak 2004   28  0.6916  0.0030  0.0730  0.1735  0.0831  0.12
Lympany 1968   51  0.6122  0.0053  0.0555  0.0559  0.0462  0.04
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977b   1  0.971  0.991  0.971  0.991  0.991  0.99
Magin 1975   5  0.7536  0.005  0.215  0.5527  0.394  0.46
Milkina 1970   18  0.7132  0.0034  0.0650  0.0640  0.0647  0.06
Mohovich 1999   52  0.6162  0.0051  0.0836  0.0859  0.0451  0.06
Nadelmann 1956   49  0.6354  0.0050  0.0834  0.0844  0.0640  0.07
Ohlsson 1999   14  0.7217  0.0020  0.0716  0.4327  0.2111  0.30
Olejniczac 1990   31  0.6855  0.0037  0.0742  0.0748  0.0649  0.06
Olejniczak 1991   35  0.6756  0.0040  0.0746  0.0744  0.0839  0.07
Osinska 1989   4  0.7519  0.004  0.192  0.6239  0.0915  0.24
Paderewski 1912   27  0.699  0.008  0.0829  0.2318  0.2814  0.25
Perahia 1994   59  0.5133  0.0059  0.0462  0.0449  0.0564  0.04
Perlemuter 1986   42  0.653  0.0031  0.0731  0.1454  0.0537  0.08
Poblocka 1999   16  0.7247  0.0025  0.1221  0.3330  0.1317  0.21
Rangell 2001   17  0.7157  0.0027  0.1125  0.2930  0.1716  0.22
Risler 1920   24  0.6937  0.0015  0.0811  0.4922  0.453  0.47
Rosen 1989   50  0.6234  0.0055  0.0652  0.0647  0.0750  0.06
Rubinstein 1939   53  0.5948  0.0046  0.0741  0.0745  0.0646  0.06
Rubinstein 1952   32  0.6823  0.0042  0.0933  0.0940  0.0643  0.07
Rubinstein 1966   41  0.6626  0.0045  0.0554  0.0544  0.0558  0.05
Rummel 1943   58  0.577  0.0054  0.0558  0.0543  0.0560  0.05
Shebanova 2002   6  0.7439  0.007  0.166  0.5323  0.239  0.35
Smith 1975   33  0.6827  0.0021  0.0823  0.3057  0.0433  0.11
Szpilman 1948   38  0.6658  0.0033  0.0651  0.0647  0.0644  0.06
Uninsky 1971   25  0.6911  0.0022  0.0824  0.3032  0.1418  0.20
Wasowski 1980   40  0.6649  0.0044  0.0747  0.0729  0.1732  0.11
Weissenberg 1971   34  0.6859  0.0019  0.0818  0.3931  0.2212  0.29
Random 1    64  -0.0263  0.0064  0.0263  0.024  0.5135  0.10
Random 2   63  0.0150  0.0063  0.0264  0.0246  0.0565  0.03
Random 3   65  -0.0360  0.0065  0.0265  0.0227  0.2052  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).