Magaloff 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.6943  0.0025  0.1020  0.3622  0.358  0.35
Ashkenazy 1981   11  0.7361  0.0014  0.1013  0.4839  0.0816  0.20
Beliavsky 2004   40  0.6616  0.0039  0.0835  0.0818  0.3623  0.17
BenOr 1989   10  0.7325  0.0010  0.0915  0.4637  0.0821  0.19
Biret 1990   44  0.6552  0.0042  0.0740  0.0733  0.0842  0.07
Blet 2003   38  0.676  0.0040  0.0739  0.0761  0.0456  0.05
Block 1995   27  0.694  0.0036  0.0648  0.0634  0.1238  0.08
Brailowsky 1960   57  0.582  0.0058  0.0557  0.0550  0.0745  0.06
Chiu 1999   4  0.7544  0.004  0.305  0.5815  0.492  0.53
Clidat 1994   21  0.7018  0.0030  0.1030  0.2138  0.0632  0.11
Cohen 1997   62  0.4841  0.0062  0.0461  0.0434  0.0853  0.06
Coop 1987   13  0.7234  0.0013  0.1211  0.5045  0.0624  0.17
Cortot 1951   56  0.5865  0.0059  0.0462  0.0428  0.2536  0.10
Czerny 1949   37  0.6753  0.0019  0.0823  0.3137  0.0728  0.15
Czerny 1949b   20  0.7028  0.0011  0.0816  0.4537  0.0722  0.18
Ezaki 2006   9  0.7321  0.0018  0.0918  0.4236  0.0918  0.19
Falvay 1989   8  0.7329  0.0012  0.118  0.5145  0.0720  0.19
Ferenczy 1958   58  0.5745  0.0057  0.0649  0.0652  0.0558  0.05
Fiorentino 1962   30  0.6942  0.0033  0.0651  0.0637  0.0941  0.07
Fliere 1977   16  0.7231  0.0015  0.0810  0.5049  0.0719  0.19
Fou 1978   12  0.7235  0.0027  0.1421  0.3445  0.0727  0.15
Francois 1956   46  0.6546  0.0037  0.0744  0.0717  0.3725  0.16
Hatto 1997   48  0.6422  0.0049  0.0737  0.0748  0.0648  0.06
Horowitz 1971   47  0.648  0.0048  0.0738  0.0758  0.0554  0.06
Horowitz 1985   61  0.5066  0.0061  0.0558  0.0549  0.0462  0.04
Indjic 2001   49  0.6454  0.0050  0.0745  0.0748  0.0651  0.06
Kapell 1951   22  0.705  0.0024  0.0928  0.2438  0.0829  0.14
Kiepura 1999   24  0.6913  0.0029  0.0927  0.2628  0.3410  0.30
Kilenyi 1937   23  0.6914  0.007  0.179  0.5129  0.247  0.35
Kissin 1993   3  0.7712  0.003  0.344  0.6024  0.276  0.40
Kitain 1937   63  0.3539  0.0063  0.0654  0.0653  0.0560  0.05
Kushner 1990   45  0.6530  0.0044  0.0743  0.0762  0.0455  0.05
Levy 1951   55  0.5947  0.0053  0.0560  0.0560  0.0463  0.04
Luisada 1990   14  0.7210  0.0017  0.0814  0.4719  0.375  0.42
Lushtak 2004   29  0.6915  0.0031  0.0632  0.1435  0.0833  0.11
Lympany 1968   52  0.6123  0.0054  0.0556  0.0560  0.0361  0.04
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977b   1  0.971  0.991  0.981  0.991  0.991  0.99
Magin 1975   6  0.7536  0.006  0.206  0.5428  0.394  0.46
Milkina 1970   19  0.7137  0.0035  0.0650  0.0641  0.0647  0.06
Mohovich 1999   53  0.6162  0.0052  0.0836  0.0860  0.0452  0.06
Nadelmann 1956   50  0.6363  0.0051  0.0834  0.0845  0.0640  0.07
Ohlsson 1999   15  0.7217  0.0021  0.0717  0.4324  0.2111  0.30
Olejniczac 1990   32  0.6855  0.0038  0.0742  0.0749  0.0649  0.06
Olejniczak 1991   36  0.6756  0.0041  0.0746  0.0744  0.0839  0.07
Osinska 1989   5  0.7519  0.005  0.183  0.6239  0.0913  0.24
Paderewski 1912   28  0.699  0.009  0.0829  0.2319  0.2514  0.24
Perahia 1994   60  0.5132  0.0060  0.0463  0.0450  0.0564  0.04
Perlemuter 1986   43  0.653  0.0032  0.0731  0.1455  0.0537  0.08
Poblocka 1999   17  0.7249  0.0026  0.1222  0.3343  0.0726  0.15
Rangell 2001   18  0.7157  0.0028  0.1126  0.2831  0.1517  0.20
Risler 1920   25  0.6938  0.0016  0.0712  0.4919  0.453  0.47
Rosen 1989   51  0.6233  0.0056  0.0653  0.0648  0.0650  0.06
Rubinstein 1939   54  0.5948  0.0047  0.0741  0.0745  0.0646  0.06
Rubinstein 1952   33  0.6824  0.0043  0.0933  0.0940  0.0543  0.07
Rubinstein 1966   42  0.6626  0.0046  0.0555  0.0545  0.0557  0.05
Rummel 1943   59  0.577  0.0055  0.0559  0.0543  0.0559  0.05
Shebanova 2002   7  0.7440  0.008  0.167  0.5324  0.229  0.34
Smith 1975   34  0.6827  0.0022  0.0824  0.3058  0.0431  0.11
Szpilman 1948   39  0.6658  0.0034  0.0652  0.0648  0.0644  0.06
Uninsky 1971   26  0.6911  0.0023  0.0825  0.2939  0.0730  0.14
Wasowski 1980   41  0.6650  0.0045  0.0647  0.0628  0.1634  0.10
Weissenberg 1971   35  0.6859  0.0020  0.0819  0.3832  0.1912  0.27
Average   2  0.8320  0.002  0.722  0.8554  0.0615  0.23
Random 1    65  -0.0264  0.0065  0.0264  0.024  0.5135  0.10
Random 2   64  0.0151  0.0064  0.0265  0.0246  0.0566  0.03
Random 3   66  -0.0360  0.0066  0.0166  0.0127  0.2065  0.04

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).