Magaloff 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.5983  0.0063  0.0452  0.0467  0.0383  0.03
Anderszewski 2003   54  0.5854  0.0057  0.0358  0.0328  0.2453  0.08
Ashkenazy 1981   36  0.674  0.069  0.1131  0.2631  0.2534  0.25
Bacha 2000   43  0.6373  0.0046  0.0450  0.0420  0.3745  0.12
Badura 1965   73  0.4755  0.0062  0.0368  0.0361  0.0484  0.03
Barbosa 1983   75  0.3840  0.0071  0.0451  0.0471  0.0379  0.03
Biret 1990   41  0.6482  0.0058  0.0370  0.0350  0.0572  0.04
Blet 2003   65  0.5384  0.0072  0.0367  0.0355  0.0480  0.03
Block 1995   17  0.7548  0.0020  0.0722  0.354  0.4222  0.38
Blumental 1952   85  0.2656  0.0081  0.0285  0.0279  0.0289  0.02
Boshniakovich 1969   19  0.732  0.132  0.127  0.476  0.528  0.49
Brailowsky 1960   13  0.779  0.046  0.0812  0.432  0.549  0.48
Bunin 1987   47  0.6268  0.0055  0.0373  0.0334  0.2454  0.08
Bunin 1987b   45  0.6275  0.0056  0.0646  0.0634  0.2446  0.12
Chiu 1999   69  0.4923  0.0142  0.0841  0.1523  0.3535  0.23
Cohen 1997   71  0.4846  0.0059  0.0380  0.038  0.4548  0.12
Cortot 1951   68  0.5061  0.0082  0.0384  0.0373  0.0387  0.03
Csalog 1996   70  0.4964  0.0079  0.0363  0.0344  0.1557  0.07
Czerny 1949   62  0.5336  0.0065  0.0457  0.0463  0.0469  0.04
Czerny 1990   31  0.6869  0.0050  0.0361  0.0369  0.0486  0.03
Duchoud 2007   51  0.6045  0.0064  0.0547  0.0559  0.0470  0.04
Ezaki 2006   18  0.7531  0.0028  0.0826  0.3327  0.2430  0.28
Falvay 1989   16  0.7512  0.0212  0.104  0.489  0.4712  0.47
Farrell 1958   35  0.6779  0.0048  0.0456  0.0414  0.2949  0.11
Ferenczy 1958   74  0.4585  0.0085  0.0381  0.0377  0.0381  0.03
Fliere 1977   2  0.8524  0.004  0.082  0.613  0.571  0.59
Fou 1978   26  0.7019  0.0116  0.0910  0.4412  0.4716  0.45
Francois 1956   40  0.6470  0.0038  0.0540  0.1533  0.1743  0.16
Friedman 1923   89  0.0565  0.0088  0.0288  0.0261  0.0588  0.03
Friedman 1923b   88  0.0671  0.0087  0.0287  0.0270  0.0585  0.03
Friedman 1930   79  0.3516  0.0145  0.0545  0.0931  0.2941  0.16
Garcia 2007   78  0.3786  0.0080  0.0455  0.0449  0.0571  0.04
Garcia 2007b   86  0.1780  0.0084  0.0286  0.0242  0.0973  0.04
Gierzod 1998   22  0.7110  0.048  0.0732  0.2519  0.2533  0.25
Gornostaeva 1994   5  0.8035  0.0010  0.0717  0.419  0.4419  0.42
Groot 1988   4  0.815  0.0611  0.089  0.464  0.5110  0.48
Harasiewicz 1955   55  0.5829  0.0015  0.0921  0.3715  0.3823  0.37
Hatto 1993   83  0.3391  0.0067  0.0366  0.0344  0.0864  0.05
Hatto 1997   76  0.3830  0.0037  0.0739  0.1531  0.1842  0.16
Horowitz 1949   28  0.697  0.0422  0.0824  0.338  0.4521  0.39
Indjic 1988   82  0.3489  0.0066  0.0382  0.0344  0.0963  0.05
Kapell 1951   53  0.5977  0.0070  0.0364  0.0374  0.0377  0.03
Kissin 1993   8  0.7811  0.0213  0.076  0.4711  0.4813  0.47
Kushner 1989   14  0.7687  0.0026  0.1023  0.3519  0.3325  0.34
Luisada 1991   44  0.6257  0.0049  0.0372  0.0332  0.2450  0.08
Lushtak 2004   56  0.5859  0.0036  0.0537  0.1728  0.2140  0.19
Malcuzynski 1961   1  0.873  0.093  0.113  0.517  0.506  0.50
Magaloff 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   23  0.7143  0.0029  0.0827  0.316  0.3924  0.35
Michalowski 1933   81  0.3425  0.0068  0.0375  0.0363  0.0478  0.03
Milkina 1970   7  0.7966  0.0024  0.0920  0.3813  0.4220  0.40
Mohovich 1999   12  0.7732  0.0023  0.0919  0.399  0.4618  0.42
Moravec 1969   58  0.5767  0.0074  0.0369  0.0365  0.0474  0.03
Morozova 2008   60  0.5418  0.0135  0.0542  0.1440  0.1147  0.12
Neighaus 1950   11  0.7722  0.0121  0.075  0.4712  0.4911  0.48
Niedzielski 1931   64  0.5352  0.0076  0.0376  0.0343  0.1062  0.05
Ohlsson 1999   38  0.6733  0.0060  0.0371  0.0355  0.0566  0.04
Osinska 1989   29  0.6926  0.0047  0.0449  0.0435  0.1651  0.08
Pachmann 1927   66  0.5344  0.0041  0.0638  0.1614  0.4931  0.28
Paderewski 1930   30  0.6815  0.0153  0.0359  0.0326  0.2352  0.08
Perlemuter 1992   48  0.6151  0.0033  0.0733  0.2425  0.2732  0.25
Pierdomenico 2008   20  0.7217  0.0118  0.0716  0.413  0.5115  0.46
Poblocka 1999   33  0.6860  0.0061  0.0454  0.0445  0.1155  0.07
Rabcewiczowa 1932   59  0.5637  0.0069  0.0377  0.0353  0.0476  0.03
Rachmaninoff 1923   61  0.5462  0.0039  0.0536  0.1728  0.2239  0.19
Rangell 2001   6  0.806  0.045  0.0811  0.442  0.5014  0.47
Richter 1976   37  0.6721  0.0132  0.0629  0.2717  0.3229  0.29
Rosen 1989   9  0.7813  0.0219  0.0615  0.416  0.597  0.49
Rosenthal 1930   27  0.7049  0.0034  0.0634  0.2310  0.5026  0.34
Rosenthal 1931   34  0.6878  0.0017  0.0625  0.335  0.5817  0.44
Rosenthal 1931b   25  0.7020  0.0114  0.0713  0.424  0.674  0.53
Rosenthal 1931c   10  0.7741  0.0025  0.1014  0.415  0.665  0.52
Rosenthal 1931d   15  0.768  0.047  0.088  0.464  0.663  0.55
Rossi 2007   80  0.3527  0.0044  0.0544  0.0912  0.2644  0.15
Rubinstein 1939   84  0.2974  0.0086  0.0365  0.0340  0.1358  0.06
Rubinstein 1952   39  0.6614  0.0243  0.0543  0.1013  0.5037  0.22
Rubinstein 1966   57  0.5772  0.0073  0.0362  0.0350  0.0568  0.04
Schilhawsky 1960   49  0.6153  0.0052  0.0378  0.0341  0.1259  0.06
Shebanova 2002   42  0.6450  0.0051  0.0374  0.0343  0.1160  0.06
Smith 1975   24  0.7139  0.0027  0.0818  0.4025  0.2627  0.32
Sokolov 2002   32  0.6828  0.0054  0.0548  0.0545  0.1056  0.07
Sztompka 1959   72  0.4838  0.0075  0.0360  0.0362  0.0565  0.04
Tomsic 1995   21  0.7242  0.0031  0.0730  0.2631  0.2136  0.23
Uninsky 1932   77  0.3776  0.0083  0.0383  0.0370  0.0482  0.03
Uninsky 1971   67  0.5088  0.0078  0.0453  0.0464  0.0467  0.04
Wasowski 1980   63  0.5347  0.0077  0.0379  0.0360  0.0475  0.03
Zak 1937   50  0.6058  0.0040  0.0635  0.1833  0.2338  0.20
Zak 1951   46  0.6234  0.0030  0.0628  0.2927  0.3128  0.30
Average   3  0.841  0.211  0.211  0.6910  0.442  0.55
Random 1   91  -0.0490  0.0091  0.0191  0.0176  0.0390  0.02
Random 2   90  0.0081  0.0090  0.0289  0.0233  0.1861  0.06
Random 3   87  0.0763  0.0089  0.0190  0.0162  0.0491  0.02

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).