Magin 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   23  0.6850  0.0024  0.1022  0.3538  0.0827  0.17
Ax 1995   13  0.7342  0.0014  0.2114  0.5437  0.1023  0.23
Bacha 1998   39  0.6326  0.0042  0.0654  0.0622  0.3829  0.15
Barbosa 1983   49  0.6121  0.0027  0.0827  0.2545  0.0734  0.13
BenOr 1989   26  0.675  0.0317  0.1421  0.4120  0.4815  0.44
Biret 1990   20  0.7047  0.0016  0.1418  0.4822  0.587  0.53
Brailowsky 1960   25  0.6712  0.0125  0.1123  0.3320  0.3518  0.34
Chiu 1999   59  0.5160  0.0061  0.0741  0.0740  0.0647  0.06
Clidat 1994   31  0.6554  0.0031  0.0730  0.1736  0.1035  0.13
Cohen 1997   63  0.4164  0.0063  0.0563  0.0550  0.0561  0.05
Cortot 1951   64  0.3944  0.0064  0.0656  0.0639  0.0657  0.06
Csalog 1996   44  0.6263  0.0047  0.0743  0.0743  0.0651  0.06
Czerny 1989   32  0.6417  0.0043  0.0651  0.0646  0.0558  0.05
Ezaki 2006   11  0.7419  0.0013  0.2016  0.5121  0.4313  0.47
Falvay 1989   16  0.7215  0.0120  0.1515  0.5241  0.0625  0.18
Fiorentino 1962   29  0.6640  0.0037  0.0736  0.0752  0.0656  0.06
Fliere 1977   27  0.6634  0.0026  0.0826  0.2531  0.2321  0.24
Fou 1978   35  0.6446  0.0035  0.0646  0.0643  0.0748  0.06
Francois 1956   62  0.4932  0.0060  0.0649  0.0657  0.0563  0.05
Goldenweiser 1946   57  0.5435  0.0056  0.0464  0.0421  0.3637  0.12
Gornostaeva 1994   61  0.4928  0.0038  0.0647  0.0631  0.1839  0.10
Groot 1988   45  0.629  0.0146  0.0558  0.0551  0.0662  0.05
Hatto 1993   7  0.7622  0.008  0.245  0.7223  0.398  0.53
Hatto 1997   3  0.784  0.044  0.254  0.7518  0.455  0.58
Horszowski 1983   52  0.5757  0.0059  0.0744  0.0722  0.2533  0.13
Indjic 2001   4  0.7813  0.013  0.153  0.7619  0.436  0.57
Katin 1996   47  0.6239  0.0045  0.0559  0.0540  0.1044  0.07
Kiepura 1999   40  0.6230  0.0030  0.0629  0.1815  0.4420  0.28
Korecka 1992   21  0.6941  0.0023  0.1024  0.322  0.7412  0.49
Kushner 1990   42  0.6249  0.0039  0.0737  0.0732  0.2238  0.12
Lilamand 2001   51  0.5855  0.0057  0.0650  0.0645  0.0652  0.06
Luisada 1990   46  0.6227  0.0048  0.0655  0.0635  0.1043  0.08
Luisada 2008   50  0.6059  0.0052  0.0648  0.0641  0.0753  0.06
Lushtak 2004   24  0.6820  0.0022  0.1025  0.2946  0.0732  0.14
Malcuzynski 1951   8  0.766  0.029  0.227  0.7021  0.399  0.52
Malcuzynski 1961   10  0.7416  0.017  0.199  0.6518  0.4010  0.51
Magaloff 1977   58  0.5445  0.0055  0.0561  0.0553  0.0660  0.05
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Meguri 1997   56  0.5562  0.0053  0.0657  0.0652  0.0559  0.05
Milkina 1970   30  0.6537  0.0034  0.0739  0.0744  0.0941  0.08
Mohovich 1999   18  0.7136  0.0021  0.1120  0.4427  0.2719  0.34
Nezu 2005   12  0.7331  0.0012  0.1411  0.6126  0.3016  0.43
Ohlsson 1999   28  0.6638  0.0040  0.0738  0.0756  0.0550  0.06
Olejniczak 1990   2  0.792  0.062  0.392  0.792  0.741  0.76
Osinska 1989   5  0.7711  0.0110  0.1910  0.6424  0.3811  0.49
Perlemuter 1992   53  0.5656  0.0058  0.0745  0.0714  0.2831  0.14
Poblocka 1999   6  0.7710  0.016  0.186  0.7115  0.602  0.65
Rangell 2001   22  0.6818  0.0028  0.0831  0.1624  0.3622  0.24
Richter 1960   54  0.5652  0.0054  0.0562  0.0557  0.0464  0.04
Richter 1961   55  0.5551  0.0051  0.0742  0.0753  0.0546  0.06
Rosen 1989   43  0.6229  0.0049  0.0740  0.0738  0.0745  0.07
Rubinstein 1939   37  0.6314  0.0132  0.0632  0.1347  0.0640  0.09
Rubinstein 1952   33  0.6443  0.0029  0.0628  0.1935  0.0936  0.13
Rubinstein 1966   34  0.6423  0.0036  0.0834  0.0838  0.0842  0.08
Rudanovskaya 2007   60  0.5161  0.0062  0.0653  0.0645  0.0655  0.06
Shebanova 2002   41  0.6258  0.0041  0.0560  0.0539  0.0754  0.06
Smith 1975   36  0.6448  0.0033  0.0633  0.1230  0.2028  0.15
Sztompka 1959   15  0.723  0.055  0.1512  0.584  0.613  0.59
Tanyel 1992   9  0.767  0.0211  0.238  0.6619  0.534  0.59
Tsujii 2005   14  0.7253  0.0019  0.1317  0.4859  0.0530  0.15
Uninsky 1959   19  0.7124  0.0018  0.1019  0.4743  0.0824  0.19
Vardi 1988   48  0.6233  0.0050  0.0652  0.0654  0.0649  0.06
Wasowski 1980   38  0.6325  0.0044  0.0835  0.0822  0.3526  0.17
Zimerman 1975   17  0.718  0.0215  0.1613  0.5529  0.2917  0.40
Average   1  0.831  0.641  0.641  0.8832  0.2414  0.46
Random 1   66  -0.0966  0.0065  0.0266  0.0263  0.0366  0.02
Random 2   65  -0.0665  0.0066  0.0265  0.0265  0.0265  0.02
Random 3   67  -0.1167  0.0067  0.0167  0.0167  0.0167  0.01

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).